CN106324976B - Test system and test method - Google Patents
Test system and test method Download PDFInfo
- Publication number
- CN106324976B CN106324976B CN201510386898.5A CN201510386898A CN106324976B CN 106324976 B CN106324976 B CN 106324976B CN 201510386898 A CN201510386898 A CN 201510386898A CN 106324976 B CN106324976 B CN 106324976B
- Authority
- CN
- China
- Prior art keywords
- image
- depth
- tabula rasa
- measured
- lens module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Studio Devices (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
本发明公开了一种测试系统，包含一光箱、多个光板及一承载底部。光板分别设置在光箱中，光板各自位于该光箱中的不同深度。承载底部用以固定承载一待测镜头模块，并使待测镜头模块面对光箱以及光板，待测镜头模块与光板各自的一间隔距离都不相同。其中，当待测镜头模块拍摄第一影像画面时，第一影像画面包含光板的影像。本发明可通过包含多重景深的单一光箱内，撷取一张画面即可取得多种不同深度信息，并可利用此些深度信息以检测待测像机模块，并可应用此些深度信息以对待测像机模块进行校正。
The present invention discloses a testing system, comprising a light box, a plurality of light panels and a supporting bottom. The light panels are respectively arranged in the light box, and each of the light panels is located at a different depth in the light box. The supporting bottom is used to fix and support a lens module to be tested, and to make the lens module to be tested face the light box and the light panel, and the spacing distance between the lens module to be tested and the light panel is different. When the lens module to be tested shoots a first image frame, the first image frame includes an image of the light panel. The present invention can obtain a variety of different depth information by capturing a picture in a single light box including multiple depths of field, and can use this depth information to detect the camera module to be tested, and can apply this depth information to calibrate the camera module to be tested.
Description
Technical field
The present invention relates to the present invention relates to a kind of test macro and test methods.Specifically, the present invention relates to one kind to exist
The test macro and test method of multiple tabula rasas are set in one light box.
Background technique
In general, the sensor sensitivity on various cameras is different, even if the camera of same model may also have quality
Different situation.In addition, magazine sensor is easy the distance by the lighting environment of photographed scene, camera distance subject
Etc. factors influence, and the image that different cameral is come out captured by the Same Scene is also inconsistent.Therefore, before camera factory
Test it is particularly important.
In addition, often requiring to use a variety of light boxs when testing camera model and respectively corresponding different test items, with configuration
Different situations, then these light boxs are shot one by one by camera model to be measured, to obtain corresponding various test items respectively
Purpose image information.However, different test situations need to be arranged in this test method in multiple and different light boxs, shooting result can also
Can be slightly different and impacted in the setting position of each light box because of the difference of each light box itself or camera model to be measured,
Cause test result inaccurate.Further, since camera model to be measured need the corresponding light box for configuring different test items one by one into
Row shooting, traditional test method are also actually time-consuming.
Therefore, how to improve traditional camera model test method, and provide and a kind of survey time saving and accurate test method
And test macro, become industry problem to be solved.
Summary of the invention
Brief summary of the present invention is given below, in order to provide the basic reason about certain aspects of the invention
Solution.It should be appreciated that this summary is not an exhaustive overview of the invention.It is not intended to determine key of the invention
Or pith, nor is it intended to limit the scope of the present invention.Its purpose only provides certain concepts in simplified form, with
This is as the preamble in greater detail discussed later.
To solve the problem above-mentioned, one embodiment of the invention provides a kind of test macro.Test macro include a light box,
Multiple tabula rasas and a carrying bottom.Tabula rasa is separately positioned in light box, and tabula rasa is each located on the different depth in the light box.Carrying
Bottom carries a lens module to be measured to fixed, and makes lens module to be measured in face of light box and tabula rasa, lens module to be measured
It is different from the respective spacing distance of tabula rasa.Wherein, when lens module to be measured shoots the first image frame, the first image
Picture includes the image of tabula rasa.
Those tabula rasas include at least one first tabula rasa, at least one second tabula rasa and an at least third tabula rasa.
At least one first tabula rasa at a distance from the lens module to be measured be a first distance, at least one second tabula rasa with
The distance of the lens module to be measured is a second distance, which is one the with the lens module to be measured at a distance from
Three distances, the first distance are greater than the second distance, which is greater than the third distance.
This at least each side of one first tabula rasa with the light box tank wall close at least one second tabula rasa is set respectively at this for this
At least one jiao of light box, an at least third tabula rasa not with the tank wall of the light box close to.
Multiple figures are respectively contained at least one first tabula rasa, at least one second tabula rasa and an at least third tabula rasa
Picture, those images include multiple anchor points and an analysis diagram.
Those images also include a check figure, a color lump figure, an object figure at least one.
The lens module to be measured includes multiple pick-up lens, those pick-up lens respectively shoot one second image frame, respectively
Second image frame includes the image of at least one first tabula rasa, at least one second tabula rasa and an at least third tabula rasa,
And first image frame is made of those second image frames.
Further, also include:
One processing unit, according to the analysis diagram at least one second image frame of those the second image frames, in terms of
Calculate an image resolution.
Further, also include:
One processing unit, according at least two image frames in those second image frames those anchor points with should be to
The angle between lens module is surveyed, to calculate an image depth of view information；
Wherein the image depth of view information includes scape depth of view information, a close shot depth of view information in a distant view depth of view information, one.
The processing unit also compares the image depth of view information with depth of view information known to one, to obtain close shot correction
Value, scape corrected value and a distant view corrected value in one, and by the distant view depth of view information, scape depth of view information, the close shot depth of field are believed in this
Breath is by the close shot corrected value, scape corrected value and the distant view corrected value are corrected in this, and to export a panoramic deep image, this is entirely
Depth of field image includes those second images after correction.
The processing unit is also to according to those analysis diagrams in those second images in the panoramic deep image, to calculate
The clarity of the panoramic deep image, and those second images after correction are subjected to complementation, to generate a complementary panoramic deep image,
And calculate a depth of field distribution map of the complementation panoramic deep image.
Another embodiment of the present invention provides a kind of test method.Test method comprise the steps of: be respectively set it is multiple
For tabula rasa in a light box, those tabula rasas are each located on the different depth in the light box；One lens module to be measured of fixed carrying exists
One carrying bottom, and lens module to be measured is made to face light box and tabula rasa, lens module to be measured and the respective interval distance of tabula rasa
From being different from；Wherein, when lens module to be measured shoots first image frame, the first image frame includes the shadow of tabula rasa
Picture.
By applying an above-mentioned embodiment, the present invention can capture a picture by the inclusion of in the single light box of the multiple depth of field
Face can obtain a variety of different depth information, and can be using these depth informations to detect camera module to be measured, and can apply this
A little depth informations are to be corrected camera module to be measured.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is the schematic diagram of the light box according to depicted in one embodiment of the invention；
Fig. 2 is the bottom view of the tabula rasa accommodating space of the light box according to depicted in Fig. 1；
Fig. 3 is the side view of the tabula rasa accommodating space according to depicted in one embodiment of the invention；
Fig. 4 is the flow chart according to the test method of one embodiment of the invention；
Fig. 5 is the schematic diagram of the image on the tabula rasa according to depicted in one embodiment of the invention；
Fig. 6 is the sub-step flow chart of the step S420 of Fig. 4；
Fig. 7 is the schematic diagram according to a depth of field bearing calibration of the embodiment of the present invention；
Fig. 8 is the schematic diagram according to another depth of field bearing calibration of the embodiment of the present invention.
Appended drawing reference:
200: tabula rasa accommodating space, 220: the first tabula rasas, 240: the second tabula rasas, 260: third tabula rasa
124: top
A: visual angle
120: light box
122: carrying bottom
140: lens module to be measured
D1, d2, d3: distance
S410~S460, S421~423: step
500,500a~500e: positioning figure
810,820,830: picture
811,812,821,822: imaging
831: fixed point
X1, x2: angle
520: check figure
530: object figure
510: analysis diagram.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.It is described in an attached drawing of the invention or a kind of embodiment
Elements and features can be combined with elements and features shown in one or more other attached drawings or embodiment.It should
Note that for purposes of clarity, being omitted in attached drawing and explanation unrelated to the invention, known to persons of ordinary skill in the art
The expression and description of component and processing.Based on the embodiments of the present invention, those of ordinary skill in the art are not paying creation
Property labour under the premise of every other embodiment obtained, shall fall within the protection scope of the present invention.
It is open term, i.e., about "comprising" used herein, " comprising ", " having ", " containing " etc.
Mean including but not limited to.Referring concurrently to Fig. 1 and Fig. 2.Fig. 1 is the signal of the light box according to depicted in one embodiment of the invention
Figure.Fig. 2 is the bottom view of the tabula rasa accommodating space of the light box according to depicted in Fig. 1.Test macro 100 includes light box 120, multiple
Tabula rasa 220,240,260 and one carries bottom 122.Wherein, tabula rasa 220,240,260 is separately positioned in light box 120, tabula rasa
220,240,260 it is each located on the different depth in light box 120.It carries bottom 122 and carries a lens module to be measured to fixed
140, and lens module 140 to be measured is made to face light box 120 and tabula rasa 220,240,260, lens module 140 to be measured and tabula rasa
220, a 240,260 respective spacing distances are different from.Wherein, when lens module 140 to be measured shoots the first image frame,
First image frame includes the image of tabula rasa 220,240,260.
More specifically, as shown in Figure 1, in one embodiment, tabula rasa 220,240,260 is placed on tabula rasa accommodating space
In 200, the top of tabula rasa accommodating space 200 is the top 124 of light box 120, and camera model to be measured 140 can be placed in bottom
122.However, the disposing way of camera model 140 to be measured and tabula rasa accommodating space 200 is not limited thereto, in another embodiment
In, camera model 140 to be measured only needs to be placed on the position that can take each tabula rasa 220,240,260.As a result, when to be measured
When lens module 140 is toward 200 filmed image picture of tabula rasa accommodating space, the image frame taken can include tabula rasa simultaneously
220,240,260 image.
In one embodiment, it if along the direction visual angle a shown in FIG. 1, is watched toward the top 124 of light box 120, it can be seen that light
Plate mode as shown in Figure 2 arranges.In the present embodiment, accommodating space 200 includes at least one first tabula rasa 220, at least 1 the
Two tabula rasas 240 and at least a third tabula rasa 260.Wherein, each side of the first tabula rasa 220 is with the tank wall in light box 120 close to example
Such as: the four of rectangular first tabula rasa 220 while all just with 120 tank wall of light box four while close to；Second tabula rasa 240 is set respectively
At least one jiao of light box, such as: multiple second tabula rasas 240 in a manner of suspending in midair or use bracket, are fixed on the four of light box respectively
A corner；Third tabula rasa 260 not with the tank wall of light box close to, such as: third tabula rasa 260 and the second tabula rasa 240 are equally with suspention
Or using bracket mode, be fixed on the centre of tabula rasa accommodating space 200, without with any tank wall close to.
By this configuration mode, various tabula rasas can be made not block each other completely in filmed image picture, and can quilt
Take the size for carrying out subsequent analysis enough.
Then, referring to Fig. 3~5.Fig. 3 is the side of the tabula rasa accommodating space according to depicted in one embodiment of the invention
View.Fig. 4 is the flow chart according to the test method of one embodiment of the invention.Fig. 5 is according to depicted in one embodiment of the invention
Tabula rasa on image schematic diagram.
In step S410, lens module to be measured is placed into position to be measured.In one embodiment, carrying bottom 122 is used
Lens module to be measured is carried with fixed, and makes lens module to be measured in face of light box 120 and tabula rasa 220,240,260, wherein to
Lens module is surveyed to be different from the respective spacing distance of tabula rasa 220,240,260.In addition, about tabula rasa lens module to be measured
Details are as follows with the embodiment of the respective spacing distance of tabula rasa 220,240,260.
In one embodiment, as shown in figure 3, lens module to be measured 140 is placed on carrying bottom 122, the first tabula rasa 220
It is d1 with the first distance of lens module 140 to be measured, the second distance of the second tabula rasa 220 and lens module 140 to be measured is d2, the
Three tabula rasas 260 and the third distance of lens module 140 to be measured are d3.Wherein, first distance d1 be greater than second distance d2, second away from
It is greater than third distance d3 from d2.In one embodiment, first distance d1 can be 5~15 centimeters, and second distance d2 can be 55
~65 centimeters, third distance d3 can be 95~105 centimeters.
By the configuration mode of this embodiment, can allow lens module 140 to be measured by shoot these tabula rasas 220,240,
260, acquired by picture image there is the image parts of the different depth of field such as distant view, middle scape and close shot, can be conducive to carry out subsequent
For the analysis of test result.
On the other hand, as shown in figure 5, respectively being wrapped on the surface of the tabula rasa 220,240,260 towards lens module 140 to be measured
Containing multiple images, image includes positioning Figure 50 0 and an analysis diagram 510.Positioning in Figure 50 0 includes multiple anchor points.It is real one
Apply in example, image can also include a check Figure 52 0, a color lump figure (not being painted), an object Figure 53 0 or other can provide border to be measured
Image of the module as test item.
In addition, in one embodiment, lens module 140 to be measured can be an array camera, it include multiple pick-up lens.Class
As, these pick-up lens respectively shoot one second image frame, and each second image frame includes the first tabula rasa 220, the second light
The image of plate 240 and third tabula rasa 260, and may make up one first image frame by these second image frames.In an embodiment
In, it is to be spliced into one first image frame by four the second picture images.In another embodiment, processing unit can be according to extremely
Analysis diagram among few one second image frame, to calculate an image resolution.
Then, the step S420 of Fig. 4 is returned to.In the step s 420, according to the second image frame, a depth of view information is calculated,
And image depth of view information compares with depth of view information known to one, it is remote with scape corrected value in one close shot corrected value of acquirement, one and one
Scape corrected value.
In one embodiment, lens module 140 to be measured shoots tabula rasa by its multiple pick-up lens for being included respectively
220,240,260, so that each pick-up lens is respectively obtained one second image frame, and (be not painted) with processing unit, according to this
Multiple anchor points at least two image frames in a little second image frames and the angle between lens module to be measured 140, with
Calculate an image depth of view information.Wherein, image depth of view information includes scape depth of view information, a close shot in a distant view depth of view information, one
Depth of view information.
In another embodiment, the tool of lens module 140 to be measured there are four pick-up lens, all clap respectively by this four pick-up lens
All tabula rasas 220,240,260 are taken the photograph, respectively to obtain one second image frame.Due on each tabula rasa 220,240,260 all at least
Include positioning Figure 50 0 and analysis diagram 510, therefore the second image frame captured by each four pick-up lens, also all includes
There are positioning Figure 50 0 and an analysis diagram 510.Processing unit can be shot respectively in the second image frame by this four pick-up lens,
Positioning Figure 50 0 in optional at least two the second image frames is to calculate an image depth information.
Illustrate the specific embodiment for generating depth of view information below.Please refer to Fig. 6~8.Fig. 6 is the step S420's of Fig. 4
Sub-step flow chart.Fig. 7 is the schematic diagram according to the depth of field bearing calibration of one embodiment of the invention.Fig. 8 is according to of the invention another
The schematic diagram of the depth of field bearing calibration of one embodiment.
In step S421, processing unit by each second image frame obtain distant view anchor point, middle scape anchor point and
The coordinate position of close shot anchor point.
For example, as shown in fig. 7, positioning Figure 50 0a~500d system is to belong to determining in four the second image frames respectively
Bitmap.It positions in Figure 50 0a~500d, pie chart sample represents distant view anchor point, scape anchor point in rectangular pattern representative, triangular graph
Sample represents close shot anchor point.In one embodiment, processing unit selection with positioning Figure 50 0a of all second image frames~
500d carries out operation, and the seat by obtaining distant view anchor point, middle scape anchor point and close shot anchor point in each second image frame
Cursor position.It is understood that, it is however generally that, selection is more to carry out the second image frame number of operation, then in subsequent step
In, the precision of depth of field depth calculation is higher.
In step S422, processing unit calculates multiple anchor points and camera lens mould to be measured at least 2 second image frames
Angle between block 140, to obtain an image depth of view information.Wherein, image depth of view information includes distant view depth of view information, middle Jing Jing
Deeply convince breath, close shot depth of view information.
For example, as shown in figure 8, base is for photographic imagery concept, when with two camera site shooting objects respectively,
Take the photograph two pictures 810,820 are coincided after generating picture 830, apart from two of the farther away object of pick-up lens at
Picture 811,821 and the angle x1 of a fixed point 831 are smaller, and two apart from the farther away object of pick-up lens are imaged 812,822 and determine
The angle x2 of point 831 is larger.It accordingly, can be by this imaging characteristic, by multiple multiple pictures taken the photograph with different camera sites
It is overlapped, and the angle according to multiple imagings of same object in the picture that coincides and pick-up lens or a certain fixed point, to distinguish
Object be in image frame for it is remote, in, the relationship of close shot, to calculate image depth of view information.
In one embodiment, as shown in fig. 7, positioning Figure 50 0a~500d, four pick-up lens shoot the second shadow respectively thus
As the positioning figure in picture.Processing unit can will be positioned according to each anchor point coordinate position in positioning Figure 50 0a~500d
Figure 50 0a~500d, which coincides, merges positioning Figure 50 0e for one.Based on respective distant view anchor point in wantonly two the second images above-mentioned
It is smaller with the angle of lens module 140 (or any fixed point) to be measured, in wantonly two the second images respective close shot anchor point with to
The biggish concept of angle of lens module 140 is surveyed, various anchor points can be learnt apart from camera lens mould to be measured by merging positioning Figure 50 0e
The distant relationships of block 140.
For example, merge positioning Figure 50 0e in, the anchor point of pie chart sample is more intensive, and the anchor point of any two pie chart samples with
The angle of lens module 140 (or any fixed point) to be measured is smaller, and closeness is higher, therefore can determine whether the anchor point generation of these pie chart samples
Table distant view anchor point；The concentration of the anchor point of rectangular pattern is taken second place, therefore can determine whether that the anchor point of these rectangular patterns represents
Middle scape anchor point；The anchor point of triangle pattern is the loosest, and the anchor point of any two triangle patterns and camera lens mould to be measured
The angle of block 140 is larger, and closeness is minimum, therefore can determine whether that the anchor point of triangle pattern represents close shot anchor point.
Accordingly, fixed according to the concentration of anchor point or two after being overlapped by the positioning figure in multiple second images
The angle in site and camera lens, to differentiate that each anchor point is distant view, middle scape or close shot in picture.
In step S423, processing unit compares image depth of view information with depth of view information known to one, close to obtain one
Scape corrected value, scape corrected value and a distant view corrected value in one.
For example, such as the paragraph that aforementioned corresponding diagram 3 is described, tabula rasa 220,240,260 and lens module 140 to be measured
Actual range is it is known that can be used as known depth of view information.Therefore, processing unit can be by acquired image scape in step S422
Breath is deeply convinced compared with known depth of view information, can calculate close shot corrected value, middle scape corrected value and distant view corrected value.
In step S424, reservoir (not being painted) to store correction parameter, correction parameter include close shot corrected value, in
Scape corrected value and distant view corrected value.
Wherein, processing unit and reservoir can be placed in light box 120 or independently set outside light box 120, and to be measured
140 electric property coupling of lens module.Processing unit can be by volume circuit such as micro-control unit (microcontroller), micro-
Manage device (microprocessor), digital signal processor (digital signal processor), the integrated electricity of special applications
Road (application specific integrated circuit, ASIC) or a logic circuit are implemented.In addition, storage
Device is to store various data, e.g. memory, hard disk, Portable disk memory card etc..
Then, the step S430 of Fig. 4 is returned to.In step S430, by distant view depth of view information, middle scape depth of view information, close shot
Depth of view information is corrected by close shot corrected value, middle scape corrected value and distant view corrected value, to export a panoramic deep image, panorama
Deep image includes these second images after correction.
In step S440, processing unit is according to the analysis diagram in the second image in panoramic deep image, to calculate panorama
The clarity of deep image, and the second image after correction is subjected to complementation, to generate a complementary panoramic deep image, and calculate complementation
One depth of field distribution map of panoramic deep image.Wherein, depth of field distribution map can be, for example, that the correspondence depth of field of complementary panoramic deep image is straight
Side's figure or other distribution maps numerically presented.
In one embodiment, processing unit can use the second image after at least two corrections and carry out complementation, complementary
Mode can be ballot method, calculating pixel average or other algorithms that can be compensated mutually image.For example, it handles
Unit is carried out complementary and all identical with one in the second image after this three corrections using the second image after three corrections
Object；If position of this object only in the second image after two corrections is identical, after being corrected with this two second
Subject to object's position in image, the object's position in the second image after another Zhang Jiaozheng is adjusted to correct with this two
The second image afterwards is identical.
In step S450, processing unit by complementary panoramic deep image distant view depth of view information and middle scape depth of view information into
One Fuzzy processing of row, to generate a synthesis segmentation depth map.
In this manner, can make in the synthesis segmentation depth map of output, the object with close shot depth of view information is more highlighted,
And other picture part systems are fuzzy, and judge whether the close shot part in synthesis segmentation depth map by human eye or processing unit
Correctly, in one embodiment, the mode of judgement is the close shot part and known practical close shot portion that will be synthesized in segmentation depth map
Divide and be compared, to judge whether the error of synthesis segmentation depth map and actual environment less than an error threshold value.For example, segmentation
Close shot part in depth map is a basketball, and known practical close shot part is a basketball really, then judges synthesis point
The error of section depth map and actual environment is less than an error threshold value.Thus user is it can be seen that via complementary panoramic deep image institute
Within the acceptable range whether the synthesis of generation is segmented depth map, with the error of actual environment.
In step S460, known depth of view information and synthesis are segmented one of depth map distant view picture, one by processing unit
Middle scape picture and a close shot picture are compared, to generate an analysis as a result, and using display (not shown) to show analysis
As a result.It whether is can determine whether as a result, via correction, complementary and etc. the and synthesis segmentation depth map that generates in distant view picture, middle scape
The performance of picture and close shot picture is correct and clear, and analysis is come out as the result is shown.
By above-mentioned test macro and test method, the present invention can be picked by the inclusion of in the single light box of the multiple depth of field
It takes a picture that can obtain a variety of different depth information, and can be existed using these depth informations with detecting camera module to be measured
Far, in, the camera shooting of close shot performance, and can using these depth informations to be corrected to camera module to be measured.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (28)
1. a kind of test macro, characterized by comprising:
One light box；
Multiple tabula rasas are separately positioned in the light box, and multiple tabula rasa is each located on the different depth in the light box；And
One carrying bottom carries a lens module to be measured to fixed, and makes the lens module to be measured in face of the light box and be somebody's turn to do
Multiple tabula rasas, the lens module to be measured are different from the respective spacing distance of multiple tabula rasa；
Wherein, when the lens module to be measured shoots first image frame, which includes simultaneously multiple light
The image of plate.
2. test macro as described in claim 1, which is characterized in that multiple tabula rasa includes at least one first tabula rasa, at least
One second tabula rasa and at least a third tabula rasa.
3. test macro as claimed in claim 2, which is characterized in that at least one first tabula rasa and the lens module to be measured
Distance is a first distance, which is a second distance at a distance from the lens module to be measured, this at least one
Third tabula rasa at a distance from the lens module to be measured be a third distance, the first distance be greater than the second distance, this second away from
From greater than with a distance from the third.
4. test macro as claimed in claim 2, which is characterized in that this at least each side of one first tabula rasa in the light box
Tank wall sets at least one jiao in the light box close to, at least one second tabula rasa respectively, an at least third tabula rasa not with the light box
Tank wall close to.
5. test macro as claimed in claim 2, which is characterized in that at least one first tabula rasa, at least one second tabula rasa
And multiple images are respectively contained on an at least third tabula rasa, multiple image includes multiple anchor points and an analysis diagram.
6. test macro as claimed in claim 5, which is characterized in that multiple image also include a check figure, a color lump figure,
An object figure at least one.
7. test macro as claimed in claim 5, which is characterized in that the lens module to be measured includes multiple pick-up lens, should
Multiple pick-up lens respectively shoot one second image frame, respectively second image frame include at least one first tabula rasa, this extremely
The image of few one second tabula rasa and an at least third tabula rasa, and first image frame shot by multiple pick-up lens it is more
A second image frame is constituted.
8. test macro as claimed in claim 7, which is characterized in that also include:
One processing unit, according to the analysis diagram at least one second image frame of multiple second image frame, to calculate
One image resolution.
9. test macro as claimed in claim 7, which is characterized in that also include:
One processing unit, according at least two image frames in multiple second image frame multiple anchor point with should be to
The angle between lens module is surveyed, to calculate an image depth of view information；
Wherein the image depth of view information includes scape depth of view information, a close shot depth of view information in a distant view depth of view information, one.
10. test macro as claimed in claim 9, which is characterized in that the processing unit is also by the image depth of view information and one
Known depth of view information compares, to obtain a close shot corrected value, scape corrected value and a distant view corrected value in one, and by the distant view scape
Deeply convince that breath, scape depth of view information, the close shot depth of view information pass through the close shot corrected value, scape corrected value and distant view correction in this in this
Value is corrected, and to export a panoramic deep image, which includes multiple second image after correction.
11. test macro as claimed in claim 10, which is characterized in that the processing unit is also to according to the panoramic deep image
In multiple second image in multiple analysis diagrams, to calculate the clarity of the panoramic deep image, and by after correction this is more
A second image carries out complementation, to generate a complementary panoramic deep image, and calculates the depth of field distribution of the complementation panoramic deep image
Figure.
12. test macro as claimed in claim 10, which is characterized in that also include:
One display, to show the depth of field distribution map；
One reservoir, to store a correction parameter, which includes the close shot corrected value, scape corrected value and this is remote in this
Scape corrected value.
13. test macro as claimed in claim 11, which is characterized in that the processing unit is also to by the complementation panorama depth shadow
The distant view depth of view information as in and one Fuzzy processing of scape depth of view information progress in this, to generate a synthesis segmentation depth map.
14. test macro as claimed in claim 13, which is characterized in that the processing unit is also to by the known depth of view information
It is compared with scape picture and a close shot picture in synthesis segmentation one of depth map distant view picture, one, to generate an analysis
As a result.
15. a kind of test method, which is characterized in that it is characterized by comprising:
Multiple tabula rasas are respectively set in a light box, multiple tabula rasa is each located on the different depth in the light box；
One lens module to be measured of fixed carrying carries bottom one, and makes the lens module to be measured in face of the light box and multiple
Tabula rasa, the lens module to be measured are different from the respective spacing distance of multiple tabula rasa；
Wherein, when the lens module to be measured shoots first image frame, which includes simultaneously multiple light
The image of plate.
16. test method as claimed in claim 15, which is characterized in that multiple tabula rasa includes at least one first tabula rasa, extremely
Few one second tabula rasa and an at least third tabula rasa.
17. test method as claimed in claim 16, which is characterized in that at least one first tabula rasa and the lens module to be measured
Distance be a first distance, at least one second tabula rasa with the lens module to be measured at a distance from be a second distance, this is at least
One third tabula rasa is a third distance at a distance from the lens module to be measured, which is greater than the second distance, this second
Distance is greater than the third distance.
18. test method as claimed in claim 16, which is characterized in that this at least each side of one first tabula rasa in the light box
Tank wall set at least one jiao in the light box respectively close to, at least one second tabula rasa, an at least third tabula rasa not with the light
The tank wall of case close to.
19. test method as claimed in claim 16, which is characterized in that at least one first tabula rasa, at least one second light
Multiple images are respectively contained on plate and an at least third tabula rasa, multiple image includes multiple anchor points and an analysis diagram.
20. test method as claimed in claim 19, which is characterized in that multiple image also includes a check figure, a color lump
Figure, an object figure at least one.
21. test method as claimed in claim 19, which is characterized in that the lens module to be measured includes multiple pick-up lens,
Multiple pick-up lens respectively shoots one second image frame, and respectively second image frame includes at least one first tabula rasa, is somebody's turn to do
The image of at least one second tabula rasa and an at least third tabula rasa, and first image frame is shot by multiple pick-up lens
Multiple second image frames are constituted.
22. test method as claimed in claim 21, which is characterized in that also include: according to multiple second image frame
Analysis diagram at least one second image frame, to calculate an image resolution.
23. test method as claimed in claim 21, which is characterized in that also include:
According to the multiple anchor point and the lens module to be measured at least two image frames in multiple second image frame
Between angle, to calculate an image depth of view information；
Wherein the image depth of view information includes scape depth of view information, a close shot depth of view information in a distant view depth of view information, one.
24. test method as claimed in claim 23, which is characterized in that also include: will be known to the image depth of view information and one
Depth of view information compares, and with scape corrected value and a distant view corrected value in one close shot corrected value of acquirement, one, and the distant view depth of field is believed
Breath, scape depth of view information in this, the close shot depth of view information by the close shot corrected value, in this scape corrected value and the distant view corrected value into
Row correction, to export a panoramic deep image, which includes multiple second image after correction.
25. test method as claimed in claim 24, which is characterized in that also include: according in the panoramic deep image this is more
Multiple analysis diagrams in a second image, to calculate the clarity of the panoramic deep image, and by multiple second shadow after correction
It is complementary as carrying out, to generate a complementary panoramic deep image, and calculate a depth of field distribution map of the complementation panoramic deep image.
26. test method as claimed in claim 25, which is characterized in that also include:
Show the depth of field distribution map；
A correction parameter is stored, which includes the close shot corrected value, scape corrected value and the distant view corrected value in this.
27. test method as claimed in claim 25, which is characterized in that also include: by being somebody's turn to do in the complementation panoramic deep image
Distant view depth of view information and one Fuzzy processing of scape depth of view information progress in this, to generate a synthesis segmentation depth map.
28. test method as claimed in claim 27, which is characterized in that also include: the known depth of view information is synthesized with this
Segmentation one of depth map distant view picture, scape picture and a close shot picture are compared in one, to generate an analysis result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510386898.5A CN106324976B (en) | 2015-07-03 | 2015-07-03 | Test system and test method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510386898.5A CN106324976B (en) | 2015-07-03 | 2015-07-03 | Test system and test method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106324976A CN106324976A (en) | 2017-01-11 |
| CN106324976B true CN106324976B (en) | 2019-04-05 |
Family
ID=57728156
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510386898.5A Expired - Fee Related CN106324976B (en) | 2015-07-03 | 2015-07-03 | Test system and test method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106324976B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107645659B (en) * | 2017-08-11 | 2024-06-28 | 江西盛泰精密光学有限公司 | Camera module optical depth of field testing arrangement |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1573400A (en) * | 2003-06-13 | 2005-02-02 | 明基电通股份有限公司 | Alignment camera lens and sensor method |
| CN1908809A (en) * | 2006-08-23 | 2007-02-07 | 无锡凯尔科技有限公司 | Universal testing lamp box for mobile camera module and testing method thereof |
| CN101493646A (en) * | 2008-01-21 | 2009-07-29 | 鸿富锦精密工业（深圳）有限公司 | Optical lens detection device and method |
| JP2010016464A (en) * | 2008-07-01 | 2010-01-21 | Iwate Toshiba Electronics Co Ltd | Test device for camera module and test method thereof |
| CN203120072U (en) * | 2013-02-22 | 2013-08-07 | 广东欧珀移动通信有限公司 | Camera testing device |
| CN103676454A (en) * | 2012-09-18 | 2014-03-26 | 亚旭电脑股份有限公司 | Test Fixture |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008084548A1 (en) * | 2007-01-12 | 2008-07-17 | Pioneer Corporation | Camera unit inspection equipment and camera unit inspection method |
| TW201028788A (en) * | 2009-01-22 | 2010-08-01 | Foxconn Tech Co Ltd | Detection device and method for detecting displacement of auto-focus lens |
-
2015
- 2015-07-03 CN CN201510386898.5A patent/CN106324976B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1573400A (en) * | 2003-06-13 | 2005-02-02 | 明基电通股份有限公司 | Alignment camera lens and sensor method |
| CN1908809A (en) * | 2006-08-23 | 2007-02-07 | 无锡凯尔科技有限公司 | Universal testing lamp box for mobile camera module and testing method thereof |
| CN101493646A (en) * | 2008-01-21 | 2009-07-29 | 鸿富锦精密工业（深圳）有限公司 | Optical lens detection device and method |
| JP2010016464A (en) * | 2008-07-01 | 2010-01-21 | Iwate Toshiba Electronics Co Ltd | Test device for camera module and test method thereof |
| CN103676454A (en) * | 2012-09-18 | 2014-03-26 | 亚旭电脑股份有限公司 | Test Fixture |
| CN203120072U (en) * | 2013-02-22 | 2013-08-07 | 广东欧珀移动通信有限公司 | Camera testing device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106324976A (en) | 2017-01-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Koch et al. | Evaluation of cnn-based single-image depth estimation methods | |
| JP6897563B2 (en) | Image processing equipment and image processing methods and programs | |
| TWI555379B (en) | An image calibrating, composing and depth rebuilding method of a panoramic fish-eye camera and a system thereof | |
| EP3248374B1 (en) | Method and apparatus for multiple technology depth map acquisition and fusion | |
| JP6590792B2 (en) | Method, apparatus and display system for correcting 3D video | |
| US20120195466A1 (en) | Image-based surface tracking | |
| KR101759798B1 (en) | Method, device and system for generating an indoor two dimensional plan view image | |
| WO2013009662A2 (en) | Calibration between depth and color sensors for depth cameras | |
| JP4052382B2 (en) | Non-contact image measuring device | |
| CN102903101B (en) | Method for carrying out water-surface data acquisition and reconstruction by using multiple cameras | |
| US20190108653A1 (en) | Capture Device Calibration Methods and Systems | |
| CN113658279B (en) | Camera internal reference and external reference estimation method, device, computer equipment and storage medium | |
| CN114923665B (en) | Image reconstruction method and image reconstruction test system for wave three-dimensional height field | |
| CN115830131A (en) | Method, device and equipment for determining fixed phase deviation | |
| CN113763544B (en) | Image determination method, device, electronic device and computer readable storage medium | |
| CN106324976B (en) | Test system and test method | |
| CN112262411B (en) | Image association method, system and device | |
| CN107527323B (en) | Calibration method and device for lens distortion | |
| TW201644271A (en) | Testing system and testing method | |
| CN115601438A (en) | External parameter calibration method and device and autonomous mobile equipment | |
| KR101165340B1 (en) | Projector calibration system using camera and method using this | |
| Chen et al. | Robust homography for real-time image un-distortion | |
| Swaminathan et al. | Polycameras: camera clusters for wide angle imaging CUCS-013-99 | |
| WO2024043055A1 (en) | Camera calibration device, camera calibration method, and recording medium | |
| Anisimov et al. | Calibration and Auto-Refinement for Light Field Cameras |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190405 Termination date: 20200703 |