CN104363377B - Display methods, device and the terminal of focus frame - Google Patents

Abstract

The invention provides a kind of display methods of focus frame, device and terminal, this method include：Obtain the focusing area selected on camera image；According to the depth information of the camera image, the region where the corresponding agent object of the focusing area is determined；The profile in the region where the region calculating agent object according to where the agent object, is shown using the profile as focus frame.Instant invention overcomes the defect of existing focus frame shape fixed single, give user more intuitive focusing area from display.

Description

Focus frame display method, device and terminal

technical field

The invention belongs to the field of imaging, and in particular relates to a display method, device and terminal of a focusing frame.

Background technique

When the camera is taking pictures, in order to obtain a clear image, the camera needs to be focused, for example, by changing the focal length of the lens, or changing the distance between the optical center of the lens and the film plane, so that the camera can focus on the picture object that the user wants to shoot.

In the existing method for displaying a focus frame, generally a rectangular focus frame is used to select an area to be focused, so that operations such as focus or exposure can be effectively completed.

In the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art: because the shape of the rectangular focus frame is fixed, but the shape and size of the target object often change, the fixed rectangular focus frame cannot be displayed accurately and effectively The target object makes the focus frame display not intuitive and clear.

Contents of the invention

In view of this, the embodiments of the present invention provide a method, device and terminal for displaying the focus frame of a camera to solve the problem in the prior art that the shape and size of the target object often change due to the fixed shape of the rectangular focus frame. The rectangular focus frame cannot accurately and effectively display the selected target object, which makes the display of the focus frame not intuitive and clear enough.

In a first aspect, an embodiment of the present invention provides a method for displaying a focus frame, the method comprising:

Get the focus area selected on the camera image;

According to the depth information of the camera image, determine the area where the subject object corresponding to the focus area is located;

The outline of the area where the main object is located is calculated according to the area where the main object is located, and the outline is displayed as a focus frame.

With reference to the first aspect, in the first possible implementation manner of the first aspect of the embodiments of the present invention, the determining the area where the subject object corresponding to the focus area is located according to the depth information of the camera image specifically includes:

Obtain the depth information of each pixel in the camera image;

Searching for pixels in the image whose depth information satisfies the threshold range according to the preset threshold range and the focus area;

Construct the area where the main object is located according to the searched pixel points.

With reference to the first possible implementation of the first aspect, in the second possible implementation of the first aspect of the embodiment of the present invention, the focus area is the focus area automatically searched by the camera, and the preset threshold range and the focus area, searching for pixels in the image whose depth information satisfies the threshold range specifically includes:

calculating average depth information in said camera image;

The threshold range is set as a range smaller than the average depth information, and pixels smaller than the average depth information are searched for.

With reference to the first possible implementation of the first aspect, in the third possible implementation of the first aspect of the embodiment of the present invention, the focus area is the focus area automatically searched by the camera, and the preset threshold range and the focus area, searching for pixels in the image whose depth information satisfies the threshold range specifically includes:

Receiving the depth information and depth radius input by the user, centering on the depth information specified by the user, determining the threshold range according to the depth radius, and searching for pixels whose depth information satisfies the threshold range in the image.

With reference to the first possible implementation of the first aspect, in the third possible implementation of the first aspect of the embodiment of the present invention, the step of acquiring the depth information of each pixel in the camera image includes:

Acquiring the first image and the second image according to the dual camera;

According to the disparity information of the same object in the first image and the second image and the position information of the dual cameras, the depth information of the pixels in the image is obtained.

With reference to the first possible implementation of the first aspect, in the third possible implementation of the first aspect of the embodiment of the present invention, the step of forming the area where the main object is located according to the searched pixel points includes:

Judging whether the area formed by the searched pixels is greater than a preset area area value;

If the area formed by the searched pixel points is larger than the preset area area value, the area where the main object is located is formed according to the searched pixel points.

With reference to the first possible implementation of the first aspect, in the third possible implementation of the first aspect of the embodiment of the present invention, the step of forming the area where the main object is located according to the searched pixel points includes:

Judging whether the area formed by the searched pixels is a continuous area;

If the area formed by the searched pixel points is a continuous area, the area where the subject object is located is formed according to the searched pixel points.

In a second aspect, an embodiment of the present invention provides a display device for a focusing frame, the device comprising:

a focus area acquisition unit, configured to acquire a focus area selected on the camera image;

The area where the main object is located is determined by a unit configured to determine the area where the main object is located corresponding to the focus area according to the depth information of the camera image;

The outline calculation and display unit is configured to calculate the outline of the area where the main object is located according to the area where the main object is located, and display the outline as a focus frame.

With reference to the second aspect, in the first possible implementation manner of the second aspect, the focus area is the focus area automatically searched by the camera, and the unit for determining the area where the subject object is located specifically includes:

The depth information acquisition subunit is used to acquire the depth information of each pixel in the camera image;

A pixel search subunit, configured to search for pixels whose depth information satisfies the threshold range in the image according to the depth information of each pixel acquired by the depth information acquisition subunit and the set threshold range;

The subject object acquisition subunit is configured to form the region where the subject object is located according to the searched pixel points.

With reference to the first possible implementation of the second aspect, in the second possible implementation of the second aspect, the focus area is a focus area specified by a user, and the pixel point search subunit includes:

Calculation module, for calculating the average depth information in the camera image;

A pixel point search module, configured to set the threshold range as a range smaller than the average depth information according to the average depth information calculated by the calculation module, and search for pixels smaller than the average depth information.

With reference to the first possible implementation of the second aspect, in a third possible implementation of the second aspect, the pixel point search subunit is configured to:

Receiving the depth information and depth radius input by the user, centering on the depth information specified by the user, determining the threshold range according to the depth radius, and searching for pixels whose depth information satisfies the threshold range in the image.

With reference to the first possible implementation manner of the second aspect, in a fourth possible implementation manner of the second aspect, the depth information acquiring subunit includes:

An image acquisition module, configured to acquire the first image and the second image according to the dual cameras;

The depth information acquisition module is configured to obtain the depth information of the pixels in the image according to the disparity information of the same object in the first image and the second image acquired by the image acquisition module and the position information of the dual cameras.

With reference to the first possible implementation manner of the second aspect, in a fifth possible implementation manner of the second aspect, the subject object acquisition subunit includes:

The first judging module is used to judge whether the area formed by the searched pixels is greater than a preset area area value;

The module for determining the area where the first subject object is located is configured to form the area where the subject object is located according to the searched pixel points if the area of the area formed by the searched pixels is greater than the preset area area value judged by the first judging module .

With reference to the first possible implementation manner of the second aspect, in a sixth possible implementation manner of the second aspect, the subject object obtaining subunit includes:

The second judging module is used to judge whether the region formed by the searched pixels is a continuous region;

The second determination module of the area where the main object is located is configured to form the area where the main object is located according to the searched pixel points if the area formed by the searched pixel points judged by the second judging module is a continuous area.

In a third aspect, an embodiment of the present invention provides a terminal, where the terminal includes the apparatus for displaying a camera focusing frame in any possible implementation manner of the second aspect.

With reference to the third aspect, in a first possible implementation manner of the third aspect, the terminal is a smart phone or a tablet computer.

In the embodiment of the present invention, by searching the area of the main object in the camera image, the outline of the main object is determined and displayed according to the area of the main object. Thereby overcoming the prior art because the shape of the rectangular focus frame is fixed, but the shape and size of the target object often change, the fixed rectangular focus frame cannot accurately and effectively display the selected target object, making the display of the focus frame not intuitive and clear enough , which in turn can make the selection of the target object more accurate, and can effectively improve the efficiency of the selection of the target object.

Description of drawings

FIG. 1 is a flow chart of the implementation of the method for displaying the focus frame provided by the first embodiment of the present invention;

Fig. 2 is a flow chart of the implementation of the display method of the focus frame provided by the second embodiment of the present invention;

Fig. 3 is an implementation flow chart of searching for pixels whose depth information satisfies the threshold range in an image according to a preset threshold range provided by the third embodiment of the present invention;

Fig. 4 shows the implementation process of obtaining the depth information of each pixel in the camera image provided by the fifth embodiment of the present invention;

FIG. 5 shows a schematic structural diagram of a display device for a focus frame provided by a sixth embodiment of the present invention.

detailed description

In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

The embodiment of the present invention can be applied to the automatic focusing of an image when a camera or video camera captures an image. Its main purpose is to overcome the existing technology because the shape of the rectangular focus frame is fixed, but the shape and size of the target object often change. The fixed rectangular focus frame cannot accurately and effectively display the selected target object, making the display of the focus frame not intuitive enough. clear question. In order to overcome the above problems, the display method of the focus frame in the present invention includes:

Acquire the focus area selected on the camera image; determine the area where the main object is located corresponding to the focus area according to the depth information of the camera image; calculate the outline of the area where the main object is located according to the area where the main object is located to display the outline as a focus frame. Below in conjunction with embodiment for further explanation.

Embodiment one:

Fig. 1 shows a flow chart of the implementation of the method for displaying the focus frame provided by the first embodiment of the present invention, which is described in detail as follows:

In step S101, the focus area selected on the camera image is acquired.

Specifically, the camera includes but is not limited to a smart phone camera, a notebook camera or a special camera or video camera, and the way the camera acquires images includes but not limited to a CCD (Charge-coupled Device in English, and a charge-coupled device in Chinese). ) photosensitive original for photosensitive acquisition or CMOS (English full name is Complementary Metal-Oxide Semiconductor, Chinese full name) photosensitive original photosensitive acquisition.

The camera image refers to an image acquired by the camera when taking photos or videos.

The focus area selected on the camera image may be a focus area determined by receiving a touch instruction input by a user, or may be a focus area input by other input methods.

In step S102, according to the depth information of the camera image, the area where the main object corresponding to the focus area is located is determined.

Specifically, the method of obtaining the depth information of each pixel in the camera image may include using images obtained by dual cameras to determine the depth information of each pixel. Of course, other depth information acquisition methods may also be used, such as using infrared ranging Get depth information.

The area where the main object is located is determined according to the focus area, the depth information of the focus area may be searched, and the area where the searched main object is located is determined according to the depth information. Further description will be specifically described in Embodiment 2 to Embodiment 4.

The main object in the camera image refers to an object with relatively prominent features in the camera image. For example, some characteristics of the main object can be defined, such as a person's face and body movements. In addition to defining the characteristics of some main subject objects, it can also be based on commonly used subject object extraction methods. For example, for images in web pages, the subject objects in the image can be determined through the annotation information of the image, and by searching for information corresponding to the annotation, Thereby determining the subject object in the image.

Of course, it should not be limited thereto, and the embodiment of the present invention also includes determining the main object of the image according to the depth information of the pixels in the image, which will be specifically described in the following embodiments.

In the embodiment of the present invention, the area where the main object is located means that after the main object is determined by the above-mentioned various methods, the position of the main object in the camera image is recorded, and the position can be represented by coordinates. It is possible to record the shape of the subject object, and correspondingly record the key position points of the shape of the subject object. For example, for a triangle, it is only necessary to record the position coordinates of three vertices, and for a polygon, it is necessary to record the position coordinates of multiple boundary positions. Vertex coordinates, and the connection method of vertices, such as which vertex is connected to which vertex, whether the connected line is a straight line or an arc, and if it is an arc, it includes information such as the radius of curvature and radian of the arc.

In step S103, the outline of the area where the main object is located is calculated according to the area where the main object is located, and the outline is displayed as a focus frame.

Specifically, the outline of the main object refers to the boundary line between the main object and the background in the image, that is, the non-main object.

The calculation of the outline of the main object may be determined according to the state information of each pixel in the main object and surrounding adjacent pixel points.

For example, assuming that the shape of each pixel in the image is a square, then there are four adjacent pixels adjacent to each pixel. When determining whether the pixel point is the outline of the main object, it can be found that the pixel point is the center, and whether the four adjacent pixel points of the center pixel point are all pixels of the main object, if there is one or more than one The adjacent pixel points do not belong to the main object, then the central pixel point is the pixel point of the outline of the main object. On the contrary, if the four pixel points adjacent to the central pixel point are all subject objects, then the central pixel point is not a pixel point of the outline of the subject object.

According to the same principle, when the shape of the pixel point is other shapes, it is only necessary to search for the pixel point as the center pixel point, whether other pixels adjacent to the center pixel point are the main objects, and if there is If one or more pixel points are not the main object, then the central pixel point is the outline of the main object.

Since the embodiment of the present invention finds the area of the main object in the camera image, the outline of the main object is determined and displayed according to the area of the main object. The selection of the target object is made more accurate, and the efficiency of selecting the target object can be effectively improved.

Embodiment two:

FIG. 2 shows the implementation process of the method for displaying the focus frame provided by the second embodiment of the present invention, which is described in detail as follows:

In step S201, the focus area selected on the camera image is acquired.

In step S202, the depth information of each pixel in the camera image is acquired.

Specifically, the depth information of the camera image, that is, the distance of each pixel point of the object in the scene relative to the imaging terminal, the object can be a person, tree, car, house, etc. can be imaged in the shooting camera through light reflection, and can be observed object. The depth information of the image can be obtained through various current methods for calculating the depth information of the image, for example, the depth information of each point in the object can be obtained through laser radar ranging, or through zoom ranging, or multi-baseline stereoscopic imaging way to obtain the depth information of each point in the image. Of course, the depth information of the image can also be acquired according to the dual-camera ranging method described in the third embodiment of the present invention, which will be specifically introduced in the third embodiment of the present invention.

In step S203, according to the preset threshold range and the focus area, a pixel point whose depth information satisfies the threshold range is searched in the image.

The set threshold range can receive the center point specified by the user, and obtain a threshold radius of depth information according to the center point and the threshold radius, or can also set two threshold boundary values, and pass the two threshold boundary values To determine the threshold range, of course, a threshold boundary can also be set, and the threshold range greater than or smaller than the threshold boundary can be taken as the set threshold range. The specific manner of setting the threshold range will be described in subsequent embodiments.

In step S204, the area where the main object is located is constructed according to the searched pixel points.

When the depth information of a pixel point in the camera image satisfies the threshold range set in step S202, it can be considered that it satisfies the set threshold range requirement.

Of course, as a further optimized implementation of the embodiment of the present invention, the step of filtering the area where the searched subject object is located may also be included, specifically including one of the following two ways, or including two ways to filter at the same time.

method one:

Judging whether the area formed by the searched pixels is greater than a preset area area value;

If the area formed by the searched pixel points is larger than the preset area area value, the area where the main object is located is formed according to the searched pixel points.

Wherein, the preset area value can be described by pixels, for example, N pixels can be set as the preset area value. The preset area value is related to the resolution of the camera image. When the resolution of the camera image is larger, the preset area value can be correspondingly increased.

The purpose of filtering the area of the obtained image in method 1 is to reduce the interference of other non-subject noise images on the subject information, such as the interference of objects with the same or similar depth information as the subject image on the subject image, or due to The interference caused by the depth information calculation error can further improve the accuracy of the main object acquisition.

Method 2:

Judging whether the area formed by the searched pixels is a continuous area;

If the area formed by the searched pixel points is a continuous area, the area where the subject object is located is formed according to the searched pixel points.

Similarly, for the noise image in the camera image, the continuity of the image area can also be used to queue the interference of the noise image to the main object, such as objects with the same or similar depth information as the main image, or depth information calculation errors. Interference in small areas.

By judging the subject information of the region composed of pixels, the region that meets the requirements and has the largest area can be selected as the region where the subject object is located.

As a more optimized implementation of the present invention, the first method and the second method can also be combined to better filter the noise image and obtain a more accurate main object.

In step S205, the outline of the area where the main object is located is calculated according to the area where the main object is located, and the outline is displayed as a focus frame.

Steps S201 and S205 are the same as steps S101 and S103 in Embodiment 1, and will not be repeated here.

In the embodiment of the present invention, by obtaining the depth information of each pixel in the camera image, and comparing the depth information with the preset threshold range, the pixel points that meet the requirements are obtained to form the area where the main object is located, and the calculation is based on the area where the main object is located. The outline of the subject object is displayed as a focus frame. The present invention further introduces two ways of optimizing the subject object, so as to further improve the accuracy of subject object search.

Embodiment three:

On the basis of Embodiment 2, FIG. 3 shows that when the focus area provided by the third embodiment of the present invention is the focus area automatically searched by the camera, according to the preset threshold range, the search for depth information in the image meets the requirements. The implementation process of the pixels in the threshold range is described in detail as follows:

In step S301, average depth information in the camera images is calculated.

Specifically, the average depth information of the camera image may be calculated by averaging the depth information of each pixel in the camera image.

In step S302, the threshold range is set as a range smaller than the average depth information, and pixels smaller than the average depth information are searched for.

According to the average depth information calculated in step S301, it is compared with each pixel in the camera image, and the image can be divided into two parts, one part is an area composed of pixels greater than the average depth information, and the other part is less than or equal to the average depth information. The area composed of depth information pixels. Considering that the main object is generally close to the shooting terminal, it is possible to select an area formed by pixels less than or equal to the average depth information as the main object. This filtering method is especially suitable for scenes where the distance between the main object and the background is relatively long.

Of course, when an area composed of pixels larger than the average depth information is selected, this part of the area can be used as the background object of the image.

When there are multiple main objects obtained, one or several of them may be selected as the main object according to the user's selection instruction.

On the basis of Embodiment 2, the embodiment of the present invention specifically introduces that by calculating the average depth information of the camera image, according to the comparison between the depth information of the pixel point and the average depth information, the main object is obtained by screening, the operation is simple, and the information of the main object is obtained. Higher accuracy.

Embodiment four:

As an alternative implementation in Embodiment 3 of the present invention, in Embodiment 4 of the present invention, a focus area based on Embodiment 2 of the present invention is provided, the focus area is a focus area specified by the user, and the preset The threshold range and the focus area, the embodiment of searching for pixels whose depth information satisfies the threshold range in the image is specifically:

Receiving the depth information and depth radius input by the user, centering on the depth information specified by the user, determining the threshold range according to the depth radius, and searching for pixels whose depth information satisfies the threshold range in the image.

The depth information specified by the user may be the depth information corresponding to the touch area obtained through a touch command, or may be a specific numerical value input by the user, and of course the depth information value may be adjusted through a slide bar.

For the depth radius, one or more commonly used values can be set according to different scenes, and the scene information can be automatically detected to call the corresponding depth radius, or the user can adjust it according to the actual situation.

In addition, as a more optimized implementation of the present invention, the depth radius can be optimized to extend different distances forward and backward from the center, so as to better adapt to the selection requirements of different main objects.

Similar to the third embodiment, on the basis of the second embodiment, the embodiment of the present invention specifically introduces that the main object in the camera image is obtained by setting the center value and the depth radius, and the selection method is more flexible.

Embodiment five:

On the basis of the second embodiment, Fig. 4 shows the implementation process of obtaining the depth information of each pixel in the camera image provided by the fifth embodiment of the present invention, which is described in detail as follows:

In step S401, a first image and a second image are acquired according to the dual cameras.

Specifically, the dual cameras may be two cameras with equal centerlines, and the distance between the two cameras is preset. The camera can be an analog camera or a digital camera. In order to facilitate the comparison of images acquired by the two cameras, generally the same type of camera is selected to facilitate subsequent comparison calculations.

When the resolutions of the two cameras are different, for example, the resolution of the first image is high, the resolution of the first image with high resolution can be lowered so that the adjusted resolution of the first image is the same as that of the second image. The resolution is the same.

For images contained in the first image but not contained in the second image, since the corresponding depth information cannot be directly calculated, this part of the image may not be regarded as a part of the image to be selected.

In step S402, according to the disparity information of the same object in the first image and the second image and the position information of the dual cameras, the depth information of the pixels in the image is obtained.

Since the positions of the two cameras are different, similar to the human eyes, the disparity information of the two images can be determined through the first image and the second image acquired by the two cameras. Distance information, according to the principle that the distance from the camera is short, the parallax is large, and the parallax is small when the distance from the camera is long, by matching the first image and the second image, the depth information of each pixel can be calculated.

In the embodiment of the present invention, the depth information in the camera image is obtained by dual cameras. Compared with other methods for obtaining the depth information, the cost of the embodiment of the present invention is lower and the implementation is more convenient.

It should be understood that in Embodiments 1 to 5 of the present invention, the serial numbers of the processes do not mean the order of execution, and the execution order of the processes should be determined by their functions and internal logic, rather than by the embodiment of the present invention. The implementation process constitutes any limitation.

Embodiment six:

Fig. 5 shows a schematic structural diagram of a display device for a camera focus frame provided by a sixth embodiment of the present invention, which is described in detail as follows:

The display device for the focus frame of the camera described in the embodiment of the present invention includes:

A focus area acquiring unit 501, configured to acquire a focus area selected on the camera image;

The area where the main object is located determining unit 502, configured to determine the area where the main object corresponding to the focus area is located according to the depth information of the camera image;

The outline calculation and display unit 503 is configured to calculate the outline of the area where the main object is located according to the area where the main object is located, and display the outline as a focus frame.

Preferably, the focus area is a focus area automatically searched by the camera, and the area determination unit where the subject object is located specifically includes:

The depth information acquisition subunit is used to acquire the depth information of each pixel in the camera image;

A pixel search subunit, configured to search for pixels whose depth information satisfies the threshold range in the image according to the depth information of each pixel acquired by the depth information acquisition subunit and the set threshold range;

The subject object acquisition subunit is configured to form the region where the subject object is located according to the searched pixel points.

Preferably, the focus area is a focus area specified by the user, and the pixel point search subunit includes:

Calculation module, for calculating the average depth information in the camera image;

A pixel point search module, configured to set the threshold range as a range smaller than the average depth information according to the average depth information calculated by the calculation module, and search for pixels smaller than the average depth information.

Preferably, the pixel point search subunit is used for:

Receiving the depth information and depth radius input by the user, centering on the depth information specified by the user, determining the threshold range according to the depth radius, and searching for pixels whose depth information satisfies the threshold range in the image.

Preferably, the depth information acquisition subunit includes:

An image acquisition module, configured to acquire the first image and the second image according to the dual cameras;

The depth information acquisition module is configured to obtain the depth information of the pixels in the image according to the disparity information of the same object in the first image and the second image acquired by the image acquisition module and the position information of the dual cameras.

Preferably, the subject object acquisition subunit includes:

The first judging module is used to judge whether the area formed by the searched pixels is greater than a preset area area value;

The module for determining the area where the first subject object is located is configured to form the area where the subject object is located based on the searched pixels if the area of the area formed by the searched pixels is greater than the preset area area value judged by the first judging module .

Preferably, the subject object acquisition subunit includes:

The second judging module is used to judge whether the region formed by the searched pixels is a continuous region;

The second determination module of the area where the main object is located is configured to form the area where the main object is located according to the searched pixel points if the area formed by the searched pixel points judged by the second judging module is a continuous area.

The camera exposure device in the embodiment of the present invention corresponds to the display method of the camera focus frame in the first, second, third, fourth, and fifth embodiments, and will not be repeated here.

In addition, an embodiment of the present invention provides a terminal, where the terminal includes the device for displaying the focus frame of a camera according to any one of the above items. In a preferred embodiment, the terminal is a smart phone or a tablet computer.

Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.

If the functions described above are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes. .

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (14)

1. A method for displaying a focus frame, characterized in that the method comprises: Get the focus area selected on the camera image; According to the depth information of the camera image, determine the area where the subject object corresponding to the focus area is located; calculating the outline of the area where the main object is located according to the area where the main object is located, and displaying the outline as a focus frame; The determining the area where the subject object corresponding to the focus area is located according to the depth information of the camera image specifically includes: Obtain the depth information of each pixel in the camera image; Searching for pixels in the image whose depth information satisfies the threshold range according to the preset threshold range and the focus area; Construct the area where the main object is located according to the searched pixel points; The area where the main object is located includes the main object and the background in the image, and the outline of the area where the main object is located is not the boundary line of the main object. 2. The method according to claim 1, wherein the focus area is the focus area automatically searched by the camera, and according to the preset threshold range and the focus area, searching for depth information in the image satisfies the The pixels in the threshold range specifically include: calculating average depth information in said camera image; The threshold range is set as a range smaller than the average depth information, and pixels smaller than the average depth information are searched for. 3. The method according to claim 1, wherein the focus area is a focus area specified by the user, and searching for depth information in the image according to the preset threshold range and the focus area satisfies the threshold The range of pixels specifically includes: Receiving the depth information and depth radius input by the user, centering on the depth information specified by the user, determining the threshold range according to the depth radius, and searching for pixels whose depth information satisfies the threshold range in the image. 4. The method according to claim 1, wherein the step of obtaining the depth information of each pixel in the camera image comprises: Acquiring the first image and the second image according to the dual camera; According to the disparity information of the same object in the first image and the second image and the position information of the dual cameras, the depth information of the pixels in the image is obtained. 5. The method according to claim 1, wherein the step of forming the region where the subject object is located according to the searched pixels comprises: Judging whether the area formed by the searched pixels is greater than a preset area area value; If the area formed by the searched pixel points is larger than the preset area area value, the area where the main object is located is formed according to the searched pixel points. 6. The method according to claim 1, wherein the step of forming the region where the subject object is located according to the searched pixels comprises: Judging whether the area formed by the searched pixels is a continuous area; If the area formed by the searched pixel points is a continuous area, the area where the subject object is located is formed according to the searched pixel points. 7. A display device for a focus frame, characterized in that the device comprises: a focus area acquisition unit, configured to acquire a focus area selected on the camera image; The area where the main object is located is determined by a unit configured to determine the area where the main object is located corresponding to the focus area according to the depth information of the camera image; an outline calculation and display unit, configured to calculate the outline of the area where the main object is located according to the area where the main object is located, and display the outline as a focus frame; The focus area is the focus area automatically searched by the camera, and the area determination unit where the subject object is located specifically includes: The depth information acquisition subunit is used to acquire the depth information of each pixel in the camera image; A pixel search subunit, configured to search for pixels whose depth information satisfies the threshold range in the image according to the depth information of each pixel acquired by the depth information acquisition subunit and the set threshold range; The main object acquisition subunit is used to form the area where the main object is located according to the searched pixel points; The area where the main object is located includes the main object and the background in the image, and the outline of the area where the main object is located is not the boundary line of the main object. 8. The device according to claim 7, wherein the focus area is a focus area specified by the user, and the pixel point search subunit comprises: Calculation module, for calculating the average depth information in the camera image; A pixel point search module, configured to set the threshold range as a range smaller than the average depth information according to the average depth information calculated by the calculation module, and search for pixels smaller than the average depth information. 9. The device according to claim 7, wherein the pixel point search subunit is used for: Receiving the depth information and depth radius input by the user, centering on the depth information specified by the user, determining the threshold range according to the depth radius, and searching for pixels whose depth information satisfies the threshold range in the image. 10. The device according to claim 7, wherein the depth information acquisition subunit comprises: An image acquisition module, configured to acquire the first image and the second image according to the dual cameras; The depth information acquisition module is configured to obtain the depth information of the pixels in the image according to the disparity information of the same object in the first image and the second image acquired by the image acquisition module and the position information of the dual cameras. 11. The method according to claim 7, wherein the subject object acquiring subunit comprises: The first judging module is used to judge whether the area formed by the searched pixels is greater than a preset area area value; The module for determining the area where the first subject object is located is configured to form the area where the subject object is located according to the searched pixel points if the area of the area formed by the searched pixels is greater than the preset area area value judged by the first judging module . 12. The device according to claim 7, wherein the subject object obtaining subunit comprises: The second judging module is used to judge whether the region formed by the searched pixels is a continuous region; The second determination module of the area where the main object is located is configured to form the area where the main object is located according to the searched pixel points if the area formed by the searched pixel points judged by the second judging module is a continuous area. 13. A terminal, characterized in that the terminal comprises a display device for the focus frame of the camera according to any one of claims 7-12. 14. The terminal according to claim 13, wherein the terminal is a smart phone or a tablet computer.