CN106095089A - A kind of method obtaining interesting target information - Google Patents
A kind of method obtaining interesting target information Download PDFInfo
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- CN106095089A CN106095089A CN201610397641.4A CN201610397641A CN106095089A CN 106095089 A CN106095089 A CN 106095089A CN 201610397641 A CN201610397641 A CN 201610397641A CN 106095089 A CN106095089 A CN 106095089A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/012—Head tracking input arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
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Abstract
A kind of method and apparatus of the information obtaining interesting target, based on augmented reality glasses system, by the detection to human eye focus, find the target of watching, and judge whether this target interested according to the watching object time, if it is determined that it is interested in this target, the photographic head then opening augmented reality glasses obtains target image, by image identification system identification interesting target, augmented reality glasses connect the Internet, target image and recognition result are scanned for, returns target selling price on the internet.
Description
Technical field:
A kind of method that the present invention relates to information obtaining interesting target, the most automatically identifies and obtains mesh interested
Mark and the method for information.
Background technology:
Along with Intelligent hardware, the development of wireless communication technique, VR (Virtual Reality, i.e. virtual reality) technology and
AR (Augmented Reality, augmented reality) technology is capable of and obtains actual application, and such as, the VIVE of HTC company is empty
Intend real world devices, the google glasses of Google, the hololens technology etc. of microsoft.Virtual reality and augmented reality
Technology is all by the light of virtual image or object simulation actual object is invested human eye, thus simulation reality in human eye
Image objects.The entirely virtual sight of virtual reality technology, the scene seen in virtual reality device display is entirely virtual
Scene, AR technology is the most different, and dummy object and scene are combined by AR technology with actual object, on the one hand, user can be led to
Crossing augmented reality equipment and observe directly real-world object and scene, on the other hand, augmented reality equipment can be by dummy object with true
Real field scape superposition, thus in real scene, simultaneously view dummy object and information, the mode obtaining information occurs revolutionary
Change.
On the other hand, the development of image procossing, identification and artificial intelligence so that computer is for the identification of image information
Being possibly realized with understanding, current image recognition algorithm quickly can identify face from image, or identifies thing in image
The kind of body, and by means of artificial intelligence, machine learning techniques, recognition accuracy is also in fast lifting, such as at search engine
In, upload image and directly can be similar to image at Internal retrieval, and in shopping website, it is also possible to carry out commodity by image
Retrieval, such as, in Taobao app, can take pictures to article, and app can return the commodity in picture by image recognition.
But the more display realizing information of augmented reality at present, and the function of acquisition of information cannot be realized, especially
It is that the position that realizes following people obtains human eye vision information in real time, and processes.
Summary of the invention:
It is an object of the invention to propose a kind of information that can be obtained human eye interesting target by augmented reality system
Method, specifically include:
S1: detection tracker's an eye line focus;
S2: judge whether the target at human eye current focus is interesting target;
S3: if interesting target, obtain target image;
S4: identify the target in image;
S5: obtain the information of target in image.
Method as described before, it is characterised in that: whether the described target judged at human eye current focus is mesh interested
Target step includes: whether detection human eye focus exceedes predetermined threshold value in the time of described target residence.
Method as described before, it is characterised in that: whether the described target judged at human eye current focus is mesh interested
Target step includes: whether detection human eye action meets default action interested.
Method as described before, it is characterised in that: described default action interested includes: blink continuously twice.
Method as described before, it is characterised in that: the step of described acquisition target image includes: the mesh to human eye focal point
Mark is taken pictures.
Method as described before, it is characterised in that: in described identification image, the step of target includes: extract at picture centre
Interesting target image, and calculate the eigenvalue of interesting target image.
Method as described before, it is characterised in that: in described acquisition image, the step of the information of target includes:
S51: the eigenvalue of interesting target image is entered with the commodity image eigenvalue in merchandise news image data base
Row contrast, it may be judged whether there is the commodity image eigenvalue of coupling.
Method as described before, it is characterised in that in described acquisition image, the step of target information also includes:
S52: if there is the commodity image eigenvalue of coupling, obtain the information of these commodity as interesting target information.
Accompanying drawing illustrates:
Fig. 1 is the schematic diagram of the augmented reality device for realizing the inventive method;
Fig. 2 is the flow chart of the inventive method;
Detailed description of the invention:
The present invention is not limited by following embodiment, can determine specifically according to technical scheme and practical situation
Embodiment.
Embodiment one:
The typical augmented reality glasses the most as shown in Figure 1 of the hardware foundation that the method for the present invention is implemented, its can be as in
Augmented reality system disclosed in the open CN105188516A of state's patent of invention " for strengthening and the System and method for of virtual reality "
System, it is also possible to being such as the augmented reality glasses such as google glass, hololens, it includes the first image-generating unit, is used for detecting
Ocular movement direction and eye focus position, and detect eye motion, as;Second image-generating unit, is used for obtaining interesting target
Image and find range;Projection arrangement, is used for the virtual objects Projection Display of augmented reality at eyeglass;Communication dress
Put, be used for being wirelessly connected to the Internet;Processor and memorizer, for control, the calculating of image procossing of augmented reality glasses
Deng.
Wherein the first image-generating unit can include one or more image-forming component, and image-forming component can be visible ray or red
Outside line photographic head, its hardware configuration and Eye-controlling focus algorithm refer to the open CN103561635A of Chinese invention patent, and " sight line chases after
Track system ", CN104126143A " comprise the HUD of eye tracks ", above-mentioned entirety introduces the present invention, by the
The eyes real time imaging that one image-generating unit obtains, can obtain accurate direction of visual lines by calculating, thus guide the second imaging
Unit follows eye sight line, thus accurately obtains the image of the target that human eye is being observed.Wherein the second image-generating unit can wrap
Including one or more image-forming component, typically, the second image-generating unit includes two photographic head, thus simulates human eye structure 3d and regard
Feeling, and according to disparity computation target range, and can use the depth sense technology of auxiliary, such as Chinese invention patent is open
CN105409212A " there is multi-view image catch and the electronic equipment of depth sense " disclosed in deep technical device and side
Method, so that it is determined that the distance of target and relative depth.
Based on above-mentioned hardware and method, being configured to implement the basis of technical solution of the present invention, the acquisition sense of the present invention is emerging
The method of interest target information specifically includes following steps:
S1: detection tracker's an eye line focus;
S2: judge whether the target at human eye current focus is interesting target;
S3: if interesting target, obtain target image;
S4: identify the target in image;
S5: obtain the information of target in image.
Wherein step S1 is realized, in addition to method mentioned above, in any prior art by above-mentioned hardware and method
Method for human eye focus detection and tracking is used equally to the present invention, includes but not limited to by visible images, infrared figure
Obtain human eye sight direction and the method for focal position as carrying out processing, and carry out eye focus detection by near-infrared laser
With the method demarcated.Algorithm can carry out calculation process by the flush bonding processor of augmented reality device or GPU and obtain, it is possible to
Be by augmented reality device be specifically designed to Eye-controlling focus hardware circuit realize, as FPGA, ASIC, DSP and other
Special chip.
The result that step S1 obtains can be that sight line is in three-dimensional direction, it is also possible to is that sight line is three-dimensional side
To the combination of the distance with sight line focus, its object is to obtain the target of people's eye fixation relative to human eye or augmented reality device
Position, the expression of relative position can only be represented by human eye sight direction, it is also possible to by human eye sight direction and goal
The combination of distance human eye distance represents.
The result that step S1 obtains is for guiding the second image-generating unit to follow the movement of human eye sight and move, thus keeps
Tracking and the seizure of target image to human eye fixation object.The result of step S1 is simultaneously used in step S2 interesting target
Judgement.
Step S2 can be by being monitored realization to the sight line focus detected in step S1, by augmented reality device
In motion sensor, motion and the head movement of people itself can be detected, believe in conjunction with head movable information and eye sight line
Breath, it can be determined that whether the physical location of human eye sight changes, i.e. judge the human eye whether same object of continuous observation
Body, calculates the time of the same target object of human eye continuous observation, if it exceeds time threshold set in advance, then judges current sight
The target examined is interesting target.The setting of time threshold can be set according to the custom of different user, for example, it is possible to set
It is set to the times such as 5s, 8s, 10s, 12s, 15s, and user can be set according to the use habit of oneself and adjust, thus
Carry out the judgement of interesting target more accurately.
Additionally, can also be by the detection to action interested set in advance to the judgement of interesting target in step S2
Realizing, such as, user may it has been determined that interested in the current target observed, and be not desired to wait in advance before Preset Time arrives
If the time arrives, the appreciable action of augmented reality device now can be set as action interested, when augmented reality device
Detect when user makes action interested, i.e. judge that the target of current fixation is interesting target.Typical action interested
Can be: blink continuously twice (action nictation can be detected by the first image-generating unit of augmented reality device), user nods,
(headwork can be examined by the motion sensor of augmented reality device and acceleration transducer in the headworks such as user shakes the head
Survey), user's gesture motion (user's gesture motion is obtained by the second image-generating unit and detected).
Additionally, the judgement to interesting target can also be realized by brain-computer interface in step S2, brain-computer interface (Brain-
ComputerInterface, BCI) as a kind of, human thinking consciousness can be directly changed into the new of peripheral equipment control instruction
Type human-computer interaction technology, the realization of typical brain-computer interface gathers EEG signals by brain electric transducer, and enters EEG signals
Row processes and identifies, identifies human thinking consciousness, and current researcher both domestic and external has been able to realize carrying out numeral by brain electricity
Or character input, control wheelchair, control artificial limb etc., in addition to gathering EEG signals, brain-computer interface can also be by gathering brain magnetic
Signal realizes, such as Chinese invention patent CN105455806A " brain magnetic signal based on GMI effect probe, sensor and collection system
System " disclosed in brain magnetic signal sensor and acquisition system.
People is when observing object, if a target creates the idea of " interested ", then its brain electricity or brain magnetic letter
Number will differ from the target of " loseing interest in ", by pattern recognition, machine learning scheduling algorithm, this two classes EEG signals can be entered
Row classification and identification.Typically, use machine learning algorithm, first gather be known as in a large number " interested " EEG signals and
The model of machine learning is trained by the EEG signals " lost interest in ", thus obtains judgment models, is carrying out mesh interested
When mark judges, augmented reality device needs to increase brain-computer interface device, thus obtains brain electricity or brain magnetic signal, then uses training
Good model judges, obtains the result that human brain is interested in the current target observed.
If being judged as that current object observing is interesting target in step s 2, then enter step S3, existing by strengthening
The second image-generating unit that actual load is put obtains the image of interesting target.The optical lens of the second image-generating unit typically has and human eye
Similar equivalent focal length, so that the image that the image obtained can actually see closer to human eye.Second image-generating unit camera lens
Central point is typically used to focus during imaging, owing to the second image-generating unit follows the direction of visual lines adjustment that the first image-generating unit detects
Imaging direction, the object observed therefore in the object i.e. human eye of imaging center position.The another kind of the second image-generating unit
During focusing mode, the distance of the human eye focusing directly detected according to the first image-generating unit is focused, thus and human eye
Focus keeps consistent.
Second image-generating unit can also carry out dynamic zoom, if object and human eye is distant, and Jiao of imaging lens
Consistent with human eye focal length away from remaining in that, then target object ratio in imaging picture is by smaller, by the second one-tenth
As the camera lens of unit carries out zoom, make target ratio in picture become big, become apparent from.The process of optical zoom can be according to
The identification of target is automatically controlled by two image-generating units.
The image obtained in step S3 is generally coloured image, in a further embodiment, and the target obtained in step S3
Image can also include near-infrared image.
Target in image is identified by step S4, and the specific algorithm present invention of image recognition repeats no more, the present invention
Any image recognition algorithm existed in prior art can be used, include but not limited to feature extraction, machine learning, mould
Stick with paste collection to identify, add up the methods such as identification, neural network recognization, structure recognition, stencil matching and support vector machine.
Preferably, step S4, before carrying out image recognition, further comprises the steps of:
S41: whether there is bar code or the image in 2 D code of target in recognition target image.
For commodity, typically there is Commercial goods labels, be printed on the bar code or Quick Response Code indicated for commodity above, be used for
Instruction merchandise news, and by the identification to bar code or Quick Response Code, can directly obtain the merchandise news of target.
In another preferred implementation, step S4 can further include step:
S43: identify the trademark information on interesting target and character information.
Trade mark and Word message on commodity can help to identify commodity more accurately, such as, if user sees
To a football and interested in football, by the algorithm of the present invention, augmented reality system determines that football is mesh interested
Mark, and obtain the image of football, by the image recognition algorithm of step S4, identify except the interesting target in image is " foot
Ball ", further, in order to obtain interesting target more accurate information, by the football image in interesting target image
In trade mark and word be identified, identify the brand of this football for " nike ", then can obtain more accurate in step s 5
Interesting target information.
The application another preferred embodiment in, in step S4 interesting target know method for distinguishing use engineering
Practise algorithm, for image that machine learning is trained from the commodity image of shopping website in algorithm.Such as, Taobao,
The shopping website such as Jingdone district, Amazon, the article for selling are respectively provided with the picture presentation of multiple different angles, and we are
Can clearly know type of merchandize that picture is corresponding and buy the much informations such as link, price, model, use these pictures with
Pictorial information carries out the training of big data quantity to machine learning model, thus obtains the machine being capable of identify that interesting target image
Learning model.Use which that interesting target is identified, be possible not only to identify the kind of interesting target, it is also possible to straight
Connect the corresponding corresponding goods identifying interesting target at different shopping websites.
The concrete grammar of the target recognition that the present invention mentions, be referred to Chinese invention patent CN104991954A,
The disclosure of CN105096180A, CN105373938A and CN103578098A, above-mentioned entirety introduces the present invention.
After completing target recognition step, entering step S5, augmented reality device connects the Internet by radio communication device,
Obtain the information of interesting target from the Internet, these information include but not limited to: interesting target is in the correspondence of shopping website
Commodity, sell and price, model, favor information, similar commodity are evaluated the business that in best commodity, similar commodity, sales volume is the highest
The information such as cheapest commodity in product, similar commodity.Obtaining by the data to shopping website of the information of interesting target
Storehouse carries out retrieval and obtains.
Embodiment two:
In an alternative embodiment of the invention, the method for described interesting target acquisition of information can also include step
S6: the information of the interesting target obtained is shown above actual interesting target by augmented reality device.
Can pass through to increase with the real augmented reality Display Technique near real world object of form of virtual image by information
Strong real device realizes, and described augmented reality fills virtual reality device as aforesaid in the present invention, its concrete Projection Display algorithm
If Chinese invention patent CN101911050A " real-time annotator ", CN103472909A are " for wear-type, augmented reality display
True to nature block ", the device and method disclosed in CN105144236A " real-time volume coupling ", above-mentioned full patent texts introduces this
Bright.
Interesting target information shows after augmented reality device, and user can be by the human-computer interaction function of augmented reality
Access interesting target corresponding goods and link in the purchase of shopping website, and be done directly and place an order, additionally, user can also make by oneself
One lower single operation of justice, after augmented reality device recognizes the lower single operation of user, directly can complete shopping at shopping website
Operation.
The man-machine interaction of augmented reality again may be by aforesaid brain-computer interface and realizes, i.e. by gathering user's brain electricity
Or brain magnetic signal, augmented reality device can obtain what user sent in the brain by identifying brain electricity or brain magnetic signal
" buy " instruction, thus complete to buy operation.
As an alternative or supplement, function of the present invention can be come by one or more hardware logic assemblies at least in part
Perform.Such as, but unrestricted, and the illustrative type of the hardware logic assembly that can be used includes field programmable gate array
(FPGA) special standardized product (ASSP), the SOC(system on a chip) (SOC) of integrated circuit (ASIC) that, program is special, program, complexity can
Programmed logic device (CPLD), Graphics Processing Unit (GPU).
Any computer-readable medium that can be accessed by augmented reality device can be used to provide computer can perform to refer to
Order.Computer-readable medium can include computer-readable storage medium and the communication medias such as the most such as memorizer.Such as memorizer
Include for storage such as computer-readable instruction, data structure, program module or other data etc. Deng computer-readable storage medium
Volatibility that any method of information or technology realize and medium non-volatile, removable and irremovable.Computer Storage is situated between
Matter includes but not limited to, RAM, ROM, EPROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc
(DVD) or other optical storages, cartridge, tape, disk storage or other magnetic storage apparatus, or can be used for storage information for
Any other non-transmission medium that calculating equipment accesses.On the contrary, communication media can be with such as carrier wave or other transmission mechanisms etc.
Modulated message signal embodies computer-readable instruction, data structure, program module or other data.As defined herein
, computer-readable storage medium does not include communication media.Therefore, computer-readable storage medium is not necessarily to be construed as being substantially to propagate letter
Number.Transmitting signal may be present in computer-readable storage medium, but transmitting signal itself is not the example of computer-readable storage medium.
Although showing computer-readable storage medium (memorizer) in augmented reality device, it being understood, however, that this storage can be point
Cloth or be positioned at remotely and access via network or other communication links.
The example of the NUI technology that can provide include but not limited to depend on voice and/or speech recognition, touch and/or
Gesture recognition, bearing of body in the air, head and eye tracking on instruction pen identification (touch-sensitive display), screen and near screen, language
Those technology of sound and speech, vision, touch, posture and machine intelligence.Meaning can be included by other examples using NUI technology
Figure and purpose understand system, use depth camera (as stereoscopic camera system, infrared camera system, rgb camera system and these
Combination) exercise attitudes detecting system, use accelerometer/gyroscope exercise attitudes detection, facial recognition, 3D shows,
Head, eyes and watch tracking attentively, immersion augmented reality and virtual reality system, and be used for using electric filed sensing electrodes (EEG
And correlation technique) sensing cerebral activity technology.
Term used herein ' computer ' or ' equipment based on calculating ' refer to disposal ability so that it is permissible
Perform any equipment of instruction.It will be understood by those skilled in the art that such disposal ability is incorporated into many distinct devices,
And therefore term each " computer " and " equipment based on calculating " include that personal computer, server, mobile phone (include
Smart phone), tablet PC, Set Top Box, media player, game console, personal digital assistant and many miscellaneous equipments.
Method described herein can be performed by the software of the machine-readable form on tangible media, such as computer
The form of program, this computer program is included in when this program is run on computers and is adapted for carrying out any side described herein
Method computer program code means in steps and wherein this computer program can be included in computer-readable medium
On.The example of tangible media includes that computer memory device, computer memory device include computer-readable medium, such as
Dish (disk), thumb drive, memorizer etc. and do not include propagated signal.Transmitting signal may be present in tangible storage and is situated between
In matter, but transmitting signal itself is not the example of tangible media.Software may be adapted in parallel processor or serial process
Perform so that various method steps can perform in any suitable order or simultaneously on device.
This recognizes, software can be valuable, the most tradable commodity.It is intended to comprise and runs on or control
Or standard hardware is to realize the software of required function.It also aims to comprise such as designing silicon, or is used for configuring logical
With " descriptions " such as HDL (hardware description language) softwares of programmable chip or definition hardware configuration to realize the soft of desired function
Part.
It will be appreciated by those skilled in the art that the storage device for storing programmed instruction can be distributed in network.Such as,
Remote computer can store the example of the process being described as software.Local or terminal computer can access remote computer
And part or all of downloaded software is to run program.Can alternatively, local computer can downloaded software as required
Fragment, or on local terminal, perform some software instructions, and above perform other at remote computer (or computer network)
Software instruction.Those skilled in the art is it will also be appreciated that by utilizing conventional art known to those skilled in the art, soft
It is whole that part instructs, or a part can be realized by the special circuit of such as DSP, programmable logic array etc.
To being proficient in the people of this technology it is readily apparent that any scope provided herein or device value can be expanded or change
Become, the effect sought without loss.
Although the language special by architectural feature and/or method action describes this theme, it is to be understood that, appended right
Theme defined in claim is not necessarily limited to above-mentioned specific features or action.On the contrary, above-mentioned specific features and action are as reality
Disclosed in the exemplary forms of existing claim.
It is appreciated that advantage as described above can relate to an embodiment and maybe can relate to multiple embodiment.Each reality
Execute example be not limited only to solve those embodiments of any or all of stated problem or have any or all of stated excellent
Those embodiments of point.It is to be further understood that " one " project to be quoted refer in those projects one or more.
The step of method described herein can the most in any suitable order, or realize simultaneously.
It addition, in the case of the spirit and scope of theme described without departing from here, can delete each from any one method
Individually frame.The each side of any example as described above can be with each side of any example in other described examples
Face combines, to constitute further example, and the effect sought without loss.
It is used here frame or element that term " includes " being intended to include identified method, but such frame or element
Do not include that exclusive list, method or equipment can comprise extra frame or element.
It is appreciated that above description is intended only as example and provides and those skilled in the art can make various repairing
Change.Described above, example and data provide comprehensive description of the structure to each exemplary embodiment and use.Although above with
Certain level of detail or describe each embodiment with reference to one or more independent embodiments, but, without departing from this specification
In the case of spirit or scope, the disclosed embodiments can be made a lot of change by those skilled in the art.
Claims (10)
1. the method obtaining interesting target information, it is characterised in that comprise the following steps:
S1: detection tracker's an eye line focus;
S2: judge whether the target at human eye current focus is interesting target;
S3: if it is determined that be interesting target, obtains target image;
S4: identify the interesting target in described target image;
S5: obtain the information of described interesting target.
2. the method for claim 1, it is characterised in that: whether the described target judged at human eye current focus is that sense is emerging
The step of interest target includes: whether detection human eye focus exceedes predetermined threshold value in the time of described target residence.
3. the method for claim 1, it is characterised in that: whether the described target judged at human eye current focus is that sense is emerging
The step of interest target includes: whether detection user action meets default action interested.
4. method as claimed in claim 3, it is characterised in that: described default action interested includes: blink continuously twice
Or nod.
5. the method as described in one of claim 2-4, it is characterised in that: the step of described acquisition target image includes: to people
The target of eye focal point is taken pictures.
6. the method as described in one of claim 2-4, it is characterised in that: in described identification image, the step of target includes: carry
Take the interesting target image at picture centre, by machine learning model, described interesting target is identified.
7. method as claimed in claim 6, it is characterised in that: described machine learning model uses shopping website merchandising database
In commodity image be trained.
8. method as claimed in claim 7, it is characterised in that: described step S4 also includes:
S41: the bar code in recognition target image or image in 2 D code.
9. method as claimed in claim 7 or 8, it is characterised in that described step S4 also includes:
S43: the trademark information identified in image on interesting target and character information.
10. method as claimed in claim 9, it is characterised in that described method also includes:
S6: the information of the interesting target obtained is shown above actual interesting target by augmented reality device.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102830797A (en) * | 2012-07-26 | 2012-12-19 | 深圳先进技术研究院 | Man-machine interaction method and system based on sight judgment |
CN103561635A (en) * | 2011-05-11 | 2014-02-05 | 谷歌公司 | Gaze tracking system |
CN104991954A (en) * | 2015-07-20 | 2015-10-21 | 河海大学 | Shopping searching system based on image search and realization method thereof |
-
2016
- 2016-06-06 CN CN201610397641.4A patent/CN106095089A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103561635A (en) * | 2011-05-11 | 2014-02-05 | 谷歌公司 | Gaze tracking system |
CN102830797A (en) * | 2012-07-26 | 2012-12-19 | 深圳先进技术研究院 | Man-machine interaction method and system based on sight judgment |
CN104991954A (en) * | 2015-07-20 | 2015-10-21 | 河海大学 | Shopping searching system based on image search and realization method thereof |
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