WO2022111458A1

WO2022111458A1 - Image capture method and apparatus, electronic device, and storage medium

Info

Publication number: WO2022111458A1
Application number: PCT/CN2021/132365
Authority: WO
Inventors: 曹岱
Original assignee: 维沃移动通信（杭州）有限公司
Priority date: 2020-11-24
Filing date: 2021-11-23
Publication date: 2022-06-02
Also published as: CN112437231A; CN112437231B

Abstract

The present application relates to the technical field of image processing. Disclosed are an image capture method and apparatus, an electronic device, and a storage medium. The image capture method comprises: obtaining graphic information, and obtaining N images captured by a camera, N being a positive integer; and stitching the N images according to the graphic information to obtain a target image, the shape of the target image matching the shape shown in the graphic information.

Description

Image capturing method and device, electronic device and storage medium

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to Chinese Patent Application No. 202011329825.X filed in China on Nov. 24, 2020, the entire contents of which are incorporated herein by reference.

technical field

The present application belongs to the technical field of image processing, and in particular relates to an image capturing method and device, an electronic device and a storage medium.

Background technique

As the photographing function of electronic devices becomes more and more powerful, people also rely more and more on the photographing function of electronic devices to record the moments in life and take pictures of scenes in life. In the process of realizing the present application, the inventor found that the existing shooting methods have at least the following problems: the images obtained during the shooting process can only form a fixed shape, such as a rectangle, etc., which leads to the lack of interest in the captured pictures and affects the shooting experience .

SUMMARY OF THE INVENTION

The purpose of the embodiments of the present application is to provide an image capturing method and device, an electronic device and a storage medium, which can solve the problem that the existing capturing method can only form a fixed shape and lack interest.

In order to solve the above technical problems, this application is implemented as follows:

In a first aspect, an embodiment of the present application provides an image capturing method, which includes:

Obtain graphic information, and obtain N images captured by the camera, where N is a positive integer;

According to the graphic information, the N images are spliced to obtain a target image, and the shape of the target image matches the shape shown by the graphic information.

In a second aspect, an embodiment of the present application provides an image capturing device, and the device includes:

an acquisition module, configured to acquire graphic information, and acquire N images captured by the camera, where N is a positive integer;

The splicing module is used for splicing the N images according to the graphic information to obtain a target image, and the shape of the target image matches the shape shown by the graphic information.

In a third aspect, embodiments of the present application provide an electronic device, the electronic device includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor, the program or instruction being The processor implements the steps of the method according to the first aspect when executed.

In a fourth aspect, an embodiment of the present application provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the steps of the method according to the first aspect are implemented .

In a fifth aspect, an embodiment of the present application provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a program or an instruction, and implement the first aspect the method described.

In a sixth aspect, an embodiment of the present application provides a program product, the program product is stored in a non-volatile storage medium, and the program product is executed by at least one processor to implement the method according to the first aspect. step.

In a seventh aspect, an embodiment of the present application provides an electronic device configured to execute the steps of the method described in the first aspect.

In the embodiment of the present application, by acquiring graphic information and acquiring N images captured by the camera, the N is a positive integer; according to the graphic information, the N images are spliced to obtain a target image, The shape of the target image matches the shape shown by the graphic information. In this way, N images can be automatically spliced into shapes corresponding to the graphic information according to the acquired graphic information, so that the shape of the target image can change with the shape of the graphic information, thereby improving the fun of shooting and user experience.

Description of drawings

FIG. 1 is one of the flowcharts of the image capturing method provided by an embodiment of the present invention;

FIG. 2 is one of the schematic display diagrams of the shooting interface provided by the embodiment of the present invention;

FIG. 3 is the second schematic diagram of the display of the photographing interface provided by the embodiment of the present invention;

FIG. 4 is a third schematic diagram of a display of a shooting interface provided by an embodiment of the present invention;

FIG. 5 is a fourth schematic diagram of a display of a shooting interface provided by an embodiment of the present invention;

6 is the second flowchart of the image capturing method provided by the embodiment of the present invention;

FIG. 7 is a third flowchart of an image capturing method provided by an embodiment of the present invention;

FIG. 8 is a fifth schematic diagram of a display of a photographing interface provided by an embodiment of the present invention;

FIG. 9 is one of the structural diagrams of an image capturing device provided by an embodiment of the present invention;

FIG. 10 is one of the structural diagrams of an electronic device provided by an embodiment of the present invention;

FIG. 11 is a second structural diagram of an electronic device provided by an embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

The terms "first", "second" and the like in the description and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in sequences other than those illustrated or described herein, and distinguish between "first", "second", etc. The objects are usually of one type, and the number of objects is not limited. For example, the first object may be one or more than one. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the associated objects are in an "or" relationship.

The image capturing method provided by the embodiments of the present application will be described in detail below through specific embodiments and application scenarios with reference to the accompanying drawings.

Referring to FIG. 1, FIG. 1 is one of the flowcharts of an image capturing method provided by an embodiment of the present invention. As shown in FIG. 1, this embodiment provides an image capturing method, including the following steps:

Step 101: Acquire graphic information, and acquire N images captured by the camera, where N is a positive integer.

Specifically, the graphic information is the specific shape information of the target image that the user wants to obtain, and the graphic information can be any shape such as square, rectangle, triangle, circle, heart, etc., which is not specifically limited in the present invention. The way to obtain graphic information can be obtained by receiving input from the user, such as receiving graphic information input by the user through the touch screen of the electronic device, or receiving graphic information input by the user through voice commands, touch selection, etc.; of course, it can also be obtained by The electronic device can automatically recognize that, for example, when the user moves the electronic device during the shooting process, the movement trajectory can be recognized, and the movement trajectory can be determined as graphic information.

The N images may be one image or multiple images. In an optional embodiment, the electronic device acquires multiple images, and since the shooting positions of the multiple images are different, images of different angles of the target object can be obtained. The way of acquiring N images captured by the camera can be obtained by setting the photographing mode of the electronic device, such as turning on the continuous shooting mode of the electronic device; or by triggering the photographing button multiple times by the user, which is not specifically limited in the present invention.

Step 102 , splicing N images according to the graphic information to obtain a target image, and the shape of the target image matches the shape shown in the graphic information.

Specifically, after obtaining the graphic information and N images, the image content of the N images can be identified, and then the identified N images can be spliced according to the graphic information, and finally a shape matching the shape shown by the graphic information is obtained. target image. During the splicing process, a preset image recognition algorithm can be used to identify the repeated parts in the N images, and the repeated parts can be de-duplicated to finally generate the target image. In this way, assuming that the graphic information is in the shape of an approximate triangle, the outline of the final target image is an approximate triangle, and if the graphic information is in the shape of an approximate circle, the outline of the final target image is an approximate circle, etc. Wait.

In the embodiment of the present invention, the above-mentioned electronic equipment may be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer), a personal digital assistant (personal digital assistant, PDA for short), a mobile Internet Device (Mobile Internet Device, MID) or wearable device (Wearable Device), etc.

In this embodiment, the target image is obtained by acquiring graphic information and N images, and splicing the N images according to the graphic information. In this way, N images can be automatically spliced into shapes corresponding to the graphic information according to the acquired graphic information, so that the shape of the target image can change with the shape of the graphic information, thereby improving the fun of shooting and user experience.

Further, the above-mentioned acquisition of graphic information specifically includes:

A first input from the user is received, and graphic information is acquired according to the first input.

Wherein, the above-mentioned first input includes at least one of the following: click input, slide input, and press input. Specifically, the embodiments of the present application do not specifically limit the input manner, and may be any achievable manner.

In this step, a user's long-press or sliding input on the shooting interface may be received, and in response to the input, a graphic information input window is displayed in a preset area of the shooting interface, and then the user's sliding input in the graphic information input window is received, and the response It should be swiped and the graph of the swipe input should be saved as graph information. Specifically, after the sliding input is received in the graphic information input window, if no new input is received within a preset period of time, the graphic corresponding to the sliding input is saved as graphic information; it can also be in the graphic information input window. After receiving the sliding input, the "Save" and "Cancel" buttons are displayed on the shooting interface. When receiving the input operation of the user clicking the "Save" button, the graphics corresponding to the sliding input is saved as graphic information; When the input operation of the "Cancel" button is performed, the graphic information in the graphic information input window is cleared, and the user is supported to re-input new graphic information.

In an optional embodiment, assuming that the user wants to obtain a target image with a circular outline, it is necessary to manually input a circle 310 in the graphic information input window 210 of the photographing interface. The photographing interface before and after inputting the graphic information is as shown in the figure. 2 and FIG. 3 , thus, after the user inputs the circle 310, the electronic device uses the circle 310 as graphic information, so as to subsequently generate a target image according to the graphic information.

In this embodiment, by receiving the first input from the user and obtaining graphic information according to the first input, the electronics can directly stitch N images according to the graphic information input by the user, making the stitching process more efficient.

Further, the above-mentioned N images captured by the camera include:

Display the prompt information of the graphic information on the shooting interface, and the prompt information is used to prompt the user to move the electronic device according to the shape of the graphic information;

Obtain N images captured by the camera during the movement of the electronic device. The above-mentioned prompt information may be prompt information in the form of text, graphics, or sound, etc., when the user moves the electronic device to take pictures, the user is prompted accordingly. For example, when the prompt information is prompt information in the form of graphics, the obtained graphic information can be directly displayed on the shooting interface, or the contour arc of the graphic information can be displayed on the shooting interface, so that the user can use the graphic information or contour arc according to the graphic information. Move the electronic device to ensure that the movement trajectory of the electronic device matches the graphic information. When the prompt information is prompt information in the form of sound, it can be converted into a voice prompt according to the obtained graphic information, such as "Please move the electronic device in the shape of a triangle" and so on.

Acquiring N images captured by the camera during the movement of the electronic device, specifically, the electronic device may be moved according to the movement trajectory indicated by the above-mentioned prompt information, and N images captured by the camera are acquired during the moving process; It may be that the user moves the electronic device at will, and acquires N images captured by the camera during the movement of the electronic device. The acquisition method of the above-mentioned N images may be that the shooting mode of the electronic device is set to a preset continuous shooting module, and in the preset continuous shooting mode, an image is acquired every preset time length, thereby acquiring N images; It may also be that the user triggers the camera button multiple times to acquire N images during the process of moving the electronic device. It should be noted that if the preset continuous shooting mode in the electronic device is used to obtain N images, the shooting mode of the electronic device needs to be set before shooting, as shown in Figure 4, the user can click the "Settings" in the shooting interface. ” button 410 to jump from the shooting interface shown in FIG. 4 to the setting page shown in FIG. 5 , so that the user can select the desired continuous shooting mode on the setting page. For example, as shown in FIG. 5 , the continuous shooting mode Including normal mode and artificial intelligence (Artificial Intelligence, AI for short) jigsaw mode, normal mode refers to saving and displaying the N images obtained during continuous shooting, while AI jigsaw mode refers to the continuous shooting process. N images are saved and displayed after AI recognition and stitching.

In this embodiment, the prompt information of the graphic information is displayed on the shooting interface, so that the user can move the electronic device according to the prompt information when the mobile electronic device is shooting, so that the movement track of the electronic device is close to the shape of the graphic information, thereby improving the image quality. Splicing efficiency and quality.

Further, above-mentioned step 102, according to the graphic information, splicing N images to obtain the target image, specifically comprising the following steps:

Identify N images;

The identified N images are spliced according to the shape of the graphic information to obtain the target image, wherein, in the case that the N images have repeated parts, the repeated parts of the N images are de-duplicated during the splicing process.

Specifically, after obtaining the graphic information and N images, the image content of the N images can be identified, and then the identified N images can be spliced according to the graphic information, and finally a shape matching the shape shown by the graphic information is obtained. target image. During the splicing process, a preset image recognition algorithm can be used to identify the repeated parts in the N images, and the repeated parts can be de-duplicated to finally generate the target image. In this way, assuming that the graphic information is in the shape of an approximate triangle, the outline of the final target image is an approximate triangle, and if the graphic information is in the shape of an approximate circle, the outline of the final target image is an approximate circle, etc. Wait. In this embodiment, the N images obtained by shooting are directly stitched through the graphic information input by the user to obtain the target image desired by the user. Since the shape of the target image depends on the graphic information manually input by the user on the shooting interface of the electronic device, the user's ideal graphic shape can be obtained more accurately, so that the final stitched target image is more suitable for the user's needs.

Referring to FIG. 6, FIG. 6 is a second flowchart of an image capturing method provided by an embodiment of the present invention, the image capturing method, which specifically includes steps:

Step 601: Receive a first input from a user, and acquire graphic information according to the first input.

In this step, a user's long-press or sliding input on the shooting interface may be received, and in response to the input, a graphic information input window is displayed in a preset area of the shooting interface, and then the user's sliding input in the graphic information input window is received, and the response It should be swiped and the graph of the swipe input should be saved as graph information.

Step 602: Display the prompt information of the graphic information on the shooting interface, where the prompt information is used to prompt the user to move the electronic device according to the shape of the graphic information.

In one embodiment, the above-mentioned prompt information may be a contour arc in the shape shown by the graphic information. For example, if the graphic information is a circle, the contour arc may be a multi-segment arc in a circle; it is assumed that the target circle If it is a square or a rectangle, the contour arc can be the contour of the four included angles of the square or rectangle, and so on.

Step 603: Acquire N images captured by the camera during the movement of the electronic device. Acquiring N images captured by the camera during the movement of the electronic device, specifically, the electronic device may be moved according to the movement trajectory indicated by the above-mentioned prompt information, and N images captured by the camera are acquired during the moving process; It may be that the user moves the electronic device at will, and acquires N images captured by the camera during the movement of the electronic device.

Step 604: Identify the N images.

Step 605, splicing the identified N images according to the shape of the graphic information to obtain the target image, wherein, in the case that the N images have repeated parts, the repeated parts of the N images are de-duplicated during the splicing process. .

Specifically, after obtaining the graphic information and N images, the image content of the N images can be identified, and then the identified N images can be spliced according to the graphic information, and finally a shape matching the shape shown by the graphic information is obtained. target image. During the splicing process, a preset image recognition algorithm can be used to identify the repeated parts in the N images, and the repeated parts can be de-duplicated to finally generate the target image. In this way, assuming that the graphic information is in the shape of an approximate triangle, the outline of the final target image is an approximate triangle, and if the graphic information is in the shape of an approximate circle, the outline of the final target image is an approximate circle, etc. Wait. In this embodiment, by receiving the first input from the user and obtaining graphic information according to the first input, the electronics can stitch N images directly according to the graphic information input by the user, making the stitching process more efficient.

Further, obtaining the graphic information above may also include the following steps:

Obtain the movement track of the camera in the process of obtaining N images;

Graphic information is determined according to the movement trajectory.

In an optional embodiment, the user does not need to manually input graphic information on the shooting interface, but during the shooting process, obtains the position information of the electronic device through a preset sensor, so as to determine the movement trajectory of the electronic device according to the position information, and then according to the position information. The movement trajectory of the electronic device determines the graphic information. Specifically, when it is detected that the camera is in the shooting state, the sensor on the electronic device collects the position information of the electronic device in real time until the camera exits the shooting state. According to the obtained position information and the corresponding collection time point, it can be determined that The movement track of the camera during the entire shooting process. It should be noted that the sensor here can be a built-in sensor in an electronic device, such as a gravitational acceleration sensor, a gyroscope, an electronic compass sensor, etc., or an external sensor, which is not specifically limited in this application. After the movement trajectory of the electronic device is determined, the movement trajectory can be used as image information.

In this embodiment, the graphic information can be determined according to the movement trajectory of the electronic device during the shooting process, and no separate setting by the user is required, thereby reducing the difficulty of the user's operation and facilitating the user to easily obtain the graphic information.

Further, in the above step 102, according to the graphic information, N images are spliced to obtain the target image, which specifically includes the following steps:

Obtain M candidate graphics of graphics information, where M is a positive integer;

Identify N images, and splicing the identified N images according to the graphic information and the shapes of the M candidate graphics respectively, to obtain the initial image and M candidate images. During the splicing process, the repeated parts of N images are deduplicated; the initial image and M candidate images are displayed;

receiving a second input from the user, and determining a target image from the initial image and the M candidate images according to the second input;

The shapes of the M candidate graphics are determined by the electronic device according to a preset recognition algorithm and graphics information.

It should be noted that the graphic information here is graphic information determined according to the movement track of the electronic device. Since the user is prone to jitter or irregular movement when moving the electronic device, after obtaining the actual movement trajectory of the electronic device, the graphic information can be identified by a preset recognition algorithm, so as to identify the graphic information similar to the graphic information. Other more regular or non-fluctuating graphics are used as candidate images for the user to choose. M here is any positive integer, which is not specifically limited in this application.

After obtaining the graphic information, M candidate graphics and N images of the graphic information, the image content of the N images can be identified, and then the identified N images are spliced according to the graphic information and the M candidate graphics, and finally An initial image matching the shape shown by the graphic information, and M candidate images matching the M candidate graphics are obtained. It should be noted that, during the splicing process, a preset image recognition algorithm can be used to identify the repeated parts in the N images, and the repeated parts can be de-duplicated to finally generate an initial image and M candidate images. Finally, the initial image and the M candidate images are displayed on the display interface of the electronic device for selection by the user, so that the user can determine the target image from the initial image and the M candidate images. In one embodiment, the display interface of the initial image and the candidate image is shown in FIG. 8 . The display interface shown in FIG. 8 includes at least one initial image and multiple candidate images. If you are satisfied, you can swipe left or right or click the preset control to enter the next interface for selection, thereby providing users with more choices.

In this embodiment, graphics information and M candidate graphics are determined according to the actual movement track of the electronic device, and an initial image and M candidate graphics are generated according to the graphics information and the M candidate graphics for the user to select for reference, thereby improving the performance of the user. The selection space for the target image.

Referring to Fig. 7, Fig. 7 is the third flow chart of the image capturing method provided by the embodiment of the present invention, the image capturing method specifically includes the steps:

Step 701: Acquire the movement track of the camera in the process of acquiring N images.

When it is detected that the camera is in the shooting state, the sensor on the electronic device collects the position information of the electronic device in real time until the camera exits the shooting state. movement trajectory during the process. It should be noted that the sensor here can be a built-in sensor in an electronic device, such as a gravitational acceleration sensor, a gyroscope, an electronic compass sensor, etc., or an external sensor, which is not specifically limited in this application.

Step 702: Determine graphic information according to the movement track.

Step 703: Obtain M candidate graphics of graphics information, where M is a positive integer.

After the graphic information is determined, the graphic information can be identified by a preset recognition algorithm, so as to identify other more regular or non-fluctuating graphics similar to the graphic information as candidate images for the user to select. M here is any positive integer, which is not specifically limited in this application. For example, when the graphic information is a circle, an ellipse similar to a circle can be determined as a candidate image through a preset recognition algorithm.

Step 704: Acquire N images captured by the camera, where N is a positive integer.

The acquisition method of the above-mentioned N images may be that the shooting mode of the electronic device is set to a preset continuous shooting module, and in the preset continuous shooting mode, an image is acquired every preset time length, thereby acquiring N images; It may also be that the user triggers the camera button multiple times to acquire N images during the process of moving the electronic device. It should be noted that if the preset continuous shooting mode in the electronic device is used to obtain N images, the shooting mode of the electronic device needs to be set before shooting, as shown in Figure 4, the user can click the "Settings" in the shooting interface. ” button 410 to jump from the shooting interface shown in FIG. 4 to the setting page shown in FIG. 5 , so that the user can select the desired continuous shooting mode on the setting page. For example, as shown in FIG. 5 , the continuous shooting mode Including normal mode and artificial intelligence (Artificial Intelligence, AI for short) jigsaw mode, normal mode refers to saving and displaying the N images obtained during continuous shooting, while AI jigsaw mode refers to the continuous shooting process. N images are saved and displayed after AI recognition and stitching.

Step 705: Identify the N images, and splicing the identified N images according to the graphic information and the shapes of the M candidate graphics, respectively, to obtain the initial image and the M candidate images.

After obtaining the graphic information, M candidate graphics and N images of the graphic information, the image content of the N images can be identified, and then the identified N images are spliced according to the graphic information and the M candidate graphics, and finally An initial image matching the shape shown by the graphic information, and M candidate images matching the M candidate graphics are obtained. It should be noted that, during the splicing process, a preset image recognition algorithm can be used to identify the repeated parts in the N images, and the repeated parts can be de-duplicated to finally generate an initial image and M candidate images.

Step 706: Display the initial image and the M candidate images.

Step 707: Receive the second input from the user, and determine the target image from the initial image and the M candidate images according to the second input.

An initial image and M candidate images are displayed on the display interface of the electronic device for selection by the user, and a target image is determined from the initial image and the M candidate images. In one embodiment, the display interface of the initial image and the candidate image is shown in FIG. 8 . The display interface shown in FIG. 8 includes at least one initial image and multiple candidate images. If you are satisfied, you can swipe left or right or click the preset control to enter the next interface for selection, thereby providing users with more choices.

It should be noted that the

above steps

701 and 703 do not constitute a limitation on the sequence of these two steps. Step 701 may be performed before or after step 703, or may be performed simultaneously, which is not specifically limited in this application.

In this embodiment, graphics information and candidate graphics are determined according to the actual movement trajectory of the electronic device, and initial images and candidate graphics are generated according to the graphics information and candidate graphics for reference selection by the user, thereby increasing the selection space of target images. At the same time, the graphic information can be determined according to the movement track of the electronic device, without the need for the user to set up separately, thereby reducing the difficulty of the user's operation and facilitating the user to easily obtain the target image.

It should be noted that, in the image capturing method provided by the embodiments of the present application, the execution subject may be an image capturing device, or a control module in the image capturing device for executing the image capturing method. In the embodiment of the present application, the image capturing device provided by the embodiment of the present application is described by taking the image capturing method performed by the image capturing device as an example.

Referring to FIG. 9, FIG. 9 is one of the structural diagrams of an image capturing apparatus provided by an embodiment of the present invention. As shown in FIG. 9, the image capturing apparatus 900 includes:

an acquisition module 901, configured to acquire graphic information, and acquire N images captured by a camera, where N is a positive integer;

The splicing module 902 is used for splicing N images according to the graphic information to obtain a target image, and the shape of the target image matches the shape shown by the graphic information.

Further, the acquisition module 901 includes:

The processing sub-module is configured to receive the first input of the user, and obtain graphic information according to the first input.

Further, the acquisition module 901 also includes:

The first display sub-module is used for displaying the prompt information of the graphic information on the shooting interface, and the prompt information is used to prompt the user to move the electronic device according to the shape of the graphic information;

The first acquisition submodule is used to acquire N images captured by the camera during the movement of the electronic device.

Further, the splicing module 902 includes:

The identification sub-module is used to identify N images;

The first splicing sub-module is used for splicing the identified N images according to the shape of the graphic information to obtain the target image, wherein, in the case that the N images have repeated parts, the N images are repeated during the splicing process. Partially deduplicated.

Further, the acquisition module 901 also includes:

The second acquisition sub-module is used to acquire the movement track of the camera in the process of acquiring N images;

The first determination sub-module is used for determining graphic information according to the movement track.

Further, the splicing module 902 also includes:

The third acquisition sub-module is used to acquire M candidate graphics of graphics information, where M is a positive integer;

The second splicing sub-module is used to identify N images, and splices the identified N images according to the graphic information and the shapes of the M candidate graphics to obtain the initial image and the M candidate images, wherein, in the N images In the case of repeated parts of the images, the repeated parts of N images are de-duplicated during the splicing process;

The second display submodule is used to display the initial image and the M candidate images;

a second determination submodule, configured to receive a second input from the user, and determine a target image from the initial image and the M candidate images according to the second input;

In the image splicing device according to the embodiment of the present invention, after acquiring graphic information and N images, N images can be spliced according to the graphic information to obtain a target image. In this way, N images can be automatically spliced into shapes corresponding to the graphic information according to the acquired graphic information, so that the shape of the target image can change with the shape of the graphic information, thereby improving the fun of shooting and user experience.

The image stitching device in this embodiment of the present application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The apparatus may be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palmtop computer, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (personal digital assistant). assistant, PDA), etc., non-mobile electronic devices can be servers, network attached storage (Network Attached Storage, NAS), personal computer (personal computer, PC), television (television, TV), teller machine or self-service machine, etc., this application Examples are not specifically limited.

The image stitching device in the embodiment of the present application may be a device with an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, which are not specifically limited in the embodiments of the present application.

The image stitching apparatus provided in the embodiment of the present application can implement each process implemented by the above-mentioned image capturing method embodiment, and to avoid repetition, details are not described here.

Optionally, as shown in FIG. 10 , an embodiment of the present application further provides an electronic device 1000, including a processor 1001, a memory 1002, a program or instruction stored in the memory 1002 and executable on the processor 1001, the program Or when the instruction is executed by the processor 1001, each process of the above image capturing method embodiments can be implemented, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.

It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

FIG. 11 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.

The electronic device 1100 includes but is not limited to: a radio frequency unit 1101, a network module 1102, an audio output unit 1103, an input unit 1104, a sensor 1105, a display unit 1106, a user input unit 1107, an interface unit 1108, a memory 1109, and a processor 1110, etc. part.

Those skilled in the art can understand that the electronic device 1100 may also include a power source (such as a battery) for supplying power to various components, and the power source may be logically connected to the processor 1110 through a power management system, so that the power management system can manage charging, discharging, and power consumption. consumption management and other functions. The structure of the electronic device shown in FIG. 11 does not constitute a limitation on the electronic device. The electronic device may include more or less components than those shown in the figure, or combine some components, or arrange different components, which will not be repeated here. .

Among them, the processor 1110 is used for acquiring graphic information and acquiring N images captured by the camera, where N is a positive integer; according to the graphic information, the N images are spliced to obtain a target image whose shape is related to the graphic information. match the shape shown.

Further, the user input unit 1107 is configured to receive the first input of the user, and the processor 1110 is further configured to acquire graphic information according to the first input.

Further, the display unit 1106 is used to display the prompt information of the graphic information on the shooting interface, and the prompt information is used to prompt the user to move the electronic device according to the shape of the graphic information; the processor 1110 is used to obtain the N images shot by the camera during the movement of the electronic device. image.

Further, the processor 1110 is also used to identify the N images; splicing the identified N images according to the shape of the graphic information to obtain the target image, wherein, in the case that the N images have repeated parts, in the The repeated parts of N images are deduplicated during the stitching process. Further, the processor 1110 is further configured to acquire the movement trajectory of the camera in the process of acquiring N images; and determine the graphic information according to the movement trajectory.

Further, the processor 1011 is also used to obtain M candidate graphics of graphics information, where M is a positive integer; identify the N images, and carry out the identification according to the graphics information and the shapes of the M candidate graphics respectively. Splicing to obtain an initial image and M candidate images, wherein, in the case of repeated parts of the N images, de-duplication processing is performed on the repeated parts of the N images during the splicing process; the display unit 1106 is also used for the initial image. and the M candidate images are displayed; the user input unit 1107 is further configured to receive the second input from the user, and the processor 1011 is further configured to determine the target image from the initial image and the M candidate images according to the second input.

In the electronic device of the embodiment of the present invention, after acquiring the graphic information and the N images, the N images can be spliced according to the graphic information to obtain the target image. In this way, N images can be automatically spliced into shapes corresponding to the graphic information according to the obtained graphic information, so that the shape of the target image can change with the shape of the graphic information, thereby improving the fun of shooting and user experience.

It should be understood that, in this embodiment of the present application, the input unit 1104 may include a graphics processor (Graphics Processing Unit, GPU) 11041 and a microphone 11042, and the graphics processor 11041 is used to communicate with the image capture device ( Such as camera) to obtain still images or video image data for processing. The display unit 1106 may include a display panel 11061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1107 includes a touch panel 11071 and other input devices 11072 . The touch panel 11071 is also called a touch screen. The touch panel 11071 may include two parts, a touch detection device and a touch controller. Other input devices 11072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be described herein again. Memory 1109 may be used to store software programs as well as various data including, but not limited to, application programs and operating systems. The processor 1110 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and application programs, and the like, and the modem processor mainly handles wireless communication. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 1110.

Embodiments of the present application further provide a readable storage medium, where a program or an instruction is stored on the readable storage medium. When the program or instruction is executed by a processor, each process of the above image capturing method embodiments can be implemented, and the same technology can be achieved. The effect, in order to avoid repetition, is not repeated here.

The processor is the processor in the electronic device in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.

An embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a program or an instruction to implement the above image capturing method embodiments. Each process can achieve the same technical effect. In order to avoid repetition, it will not be repeated here.

It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, a system-on-chip, a system-on-a-chip, or a system-on-a-chip, or the like.

It should be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, It also includes other elements not expressly listed or inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in the reverse order depending on the functions involved. To perform functions, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to some examples may be combined in other examples.

From the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform, and of course hardware can also be used, but in many cases the former is better implementation. Based on this understanding, the technical solutions of the present application can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products are stored in a storage medium (such as ROM/RAM, magnetic disk, CD-ROM), including several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods of the various embodiments of the present application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific embodiments, which are merely illustrative rather than restrictive. Under the inspiration of this application, without departing from the scope of protection of the purpose of this application and the claims, many forms can be made, which all fall within the protection of this application.

Claims

An image capturing method, the method comprising:

Obtain graphic information, and obtain N images captured by the camera, where N is a positive integer;

According to the graphic information, the N images are spliced to obtain a target image, and the shape of the target image matches the shape shown by the graphic information.
The method according to claim 1, wherein the acquiring graphics information comprises:

A first input from a user is received, and the graphic information is acquired according to the first input.
The method according to claim 2, wherein the acquiring N images captured by the camera comprises:

Displaying prompt information of the graphic information on the shooting interface, where the prompt information is used to prompt the user to move the electronic device according to the shape of the graphic information;

N images captured by the camera during the movement of the electronic device are acquired.
The method according to claim 3, wherein, according to the graphic information, the N images are spliced to obtain a target image, comprising:

Identify the N images;

Splicing the identified N images according to the shape of the graphic information to obtain a target image, wherein, in the case that the N images have repeated parts, the N images are spliced during the splicing process. Duplicate parts are deduplicated.
The method according to claim 1, wherein the acquiring graphics information comprises:

acquiring the movement track of the camera in the process of acquiring the N images;

The graphic information is determined according to the movement track.
The method according to claim 5, wherein, according to the graphic information, stitching the N images to obtain the target image, comprising:

Obtain M candidate graphics of the graphics information, where M is a positive integer;

Identify the N images, and splicing the identified N images according to the graphic information and the shapes of the M candidate graphics respectively, to obtain an initial image and M candidate images, wherein, in the In the case where there are repeated parts of the N images, de-duplication processing is performed on the repeated parts of the N images during the splicing process;

displaying the initial image and the M candidate images;

receiving a second input from the user, and determining the target image from the initial image and the M candidate images according to the second input;

The shapes of the M candidate graphics are determined by the electronic device according to a preset recognition algorithm and the graphics information.
An image capturing device, the device includes:

an acquisition module, used for acquiring graphic information, and acquiring N images captured by the camera, where N is a positive integer;

The splicing module is used for splicing the N images according to the graphic information to obtain a target image, and the shape of the target image matches the shape shown by the graphic information.
The image capturing device according to claim 7, wherein the acquiring module comprises:

The processing submodule is configured to receive the first input of the user, and obtain the graphic information according to the first input.
The image capturing device according to claim 8, wherein the acquisition module further comprises:

a first display sub-module, configured to display the prompt information of the graphic information on the shooting interface, where the prompt information is used to prompt the user to move the electronic device according to the shape of the graphic information;

The first acquisition sub-module is configured to acquire N images captured by the camera during the movement of the electronic device.
The image capturing device according to claim 9, wherein the splicing module comprises:

an identification sub-module for identifying the N images;

The first splicing sub-module is used for splicing the identified N images according to the shape of the graphic information to obtain a target image, wherein, in the case that the N images have repeated parts, in the splicing In the process, the repeated parts of the N images are deduplicated.
The image capturing device according to claim 7, wherein the acquisition module further comprises:

a second acquisition sub-module, configured to acquire the movement track of the camera in the process of acquiring the N images;

The first determination submodule is configured to determine the graphic information according to the movement track.
The image capturing device according to claim 11, wherein the splicing module further comprises:

The third acquisition sub-module is used to acquire M candidate graphics of the graphics information, where M is a positive integer;

The second splicing sub-module is used for identifying the N images, and splicing the identified N images according to the graphic information and the shapes of the M candidate graphics respectively, to obtain the initial image and the M candidate graphics. candidate images, wherein, in the case of repeated parts of the N images, de-duplication processing is performed on the repeated parts of the N images during the splicing process;

a second display submodule, configured to display the initial image and the M candidate images;

a second determination submodule, configured to receive a second input from the user, and determine the target image from the initial image and the M candidate images according to the second input;

The shapes of the M candidate graphics are determined by the electronic device according to a preset recognition algorithm and the graphics information.
An electronic device, comprising a processor, a memory, and a program or instruction stored on the memory and executable on the processor, the program or instruction being executed by the processor to achieve as claimed in claims 1-6 The steps of any one of the image capturing methods.
A readable storage medium, on which a program or an instruction is stored, and when the program or instruction is executed by a processor, the steps of the image capturing method according to any one of claims 1-6 are implemented.
A chip comprising a processor and a communication interface, the communication interface being coupled to the processor, the processor being used for running programs or instructions to implement the steps of the method as claimed in any one of claims 1 to 6.
A computer program product stored in a non-volatile storage medium, the program product being executed by at least one processor to implement the steps of the method of any one of claims 1 to 6.
An electronic device configured to perform the steps of the method of any one of claims 1 to 6.