Method and electronic device for recommending an image capture mode

Abstract

The embodiments herein disclose a method for recommending an image capture mode by an electronic device (100). The method includes identifying, by the electronic device (100), at least one ROI displayed in a camera preview of the electronic device (100) for capturing an image in a non-ultra-wide-angle image capture mode. Further, the method includes determining, by the electronic device (100), that the at least one ROI is suitable for capturing in an ultra-wide-angle image capture mode. Further, the method includes providing, by the electronic device (100), at least one recommendation to switch from the non-ultra-wide-angle image capture mode to the ultra-wide-angle image capture mode for capturing the image.

Description

Technical Field

[0001] This disclosure relates to an image capture system, and more particularly to a method for recommending an image capture mode by an electronic device. This application is based on and claims priority to Indian Application No. 201841027230, filed July 20, 2018, the disclosure of which is incorporated herein by reference. Background Technology

[0002] Typically, without scene understanding capabilities, users cannot see or imagine the potential output of smart cameras and ultra-wide-angle lens fields of view (FOV). Currently, the combination of camera FOV and artificial intelligence (AI) offers numerous opportunities to help users capture images that were previously impossible.

[0003] The way you hold the camera has a significant impact on the images you take. Each scene has its own set of rules, which the average camera user may not understand. For example, simply taking a few steps closer to the subject can result in a better photo, but the user might not realize this. Performing wide-scene analysis and providing instructions / suggested actions can help users achieve excellent captures.

[0004] Conventional systems are known to recognize scenes but have little understanding of filtering / color / correction options. Furthermore, this system uses intelligence and machine learning to suggest the best possible composition for the existing view. Additionally, conventional systems perform low-aperture capture and pick up objects from the physical world, converting them into virtual objects.

[0005] Therefore, it is hoped that the above-mentioned shortcomings can be addressed or at least a useful alternative can be provided. Summary of the Invention

[0006] Technical issues

[0007] Typically, without the ability to understand the scene, a user's naked eye cannot see or imagine the possible output that a smart camera and ultra-wide-angle lens field of view (FOV) can provide.

[0008] Solution to the problem

[0009] An electronic device (100) for recommending image capture modes includes: a memory (130); and a processor (110) coupled to the memory (130) and configured to: identify at least one region of interest (ROI) displayed in a camera preview of the electronic device (100) for capturing images in a non-ultra-wide-angle image capture mode; determine at least one ROI suitable for capture in an ultra-wide-angle image capture mode; and provide at least one recommendation to switch from the non-ultra-wide-angle image capture mode to the ultra-wide-angle image capture mode for image capture.

[0010] A method for recommending an image capture mode by an electronic device (100) includes: identifying at least one region of interest (ROI) displayed in a camera preview of the electronic device (100) for capturing an image in a non-ultra-wide-angle image capture mode; determining that the at least one ROI is suitable for capture in an ultra-wide-angle image capture mode; and providing at least one recommendation by the electronic device (100) to switch from the non-ultra-wide-angle image capture mode to the ultra-wide-angle image capture mode to capture the image.

[0011] An electronic device (100) for recommending image capture modes includes: a memory (130); and a processor (110) coupled to the memory (130) and configured to: identify at least one region of interest (ROI) displayed in a camera preview of the electronic device (100); determine at least one image capture mode from a plurality of image capture modes based on said at least one ROI; and provide at least one recommendation to activate the at least one image capture mode determined from the plurality of image capture modes to capture an image.

[0012] Beneficial effects of the invention

[0013] According to the embodiments described herein, at least one region of interest (ROI) can be identified in a camera preview displayed for capturing images in a non-ultra-wide-angle image capture mode. Attached Figure Description

[0014] The methods and systems described herein are illustrated in the accompanying drawings, and similar reference numerals indicate corresponding parts in the various drawings throughout. The embodiments herein will be better understood through the following description with reference to the accompanying drawings, wherein:

[0015] Figure 1a Various blocks of an electronic device for recommending image capture modes according to embodiments disclosed herein are shown;

[0016] Figure 1b Various blocks of a processor according to embodiments disclosed herein are shown;

[0017] Figure 2a This is a flowchart illustrating a method for recommending image capture modes according to embodiments disclosed herein;

[0018] Figure 2b This is a flowchart illustrating various operations for determining at least one ROI suitable for capture in an ultra-wide-angle image capture mode, according to embodiments disclosed herein.

[0019] Figure 2c This is another flowchart illustrating a method for recommending image capture modes according to embodiments disclosed herein; and

[0020] Figures 3a to 8b This is an example scenario of an electronic device recommending an image capture mode according to the embodiments disclosed herein. Detailed Implementation

[0021] The primary objective of the embodiments described herein is to provide a method for recommending image capture modes by an electronic device.

[0022] Another objective of the embodiments described herein is to identify at least one region of interest (ROI) displayed in a camera preview used to capture images in a non-ultra-wide-angle image capture mode.

[0023] Another objective of the embodiments described herein is to identify at least one object in at least one ROI.

[0024] Another objective of the embodiments described herein is to determine whether at least one object in at least one ROI matches at least one predefined object.

[0025] Another objective of embodiments of this document is to determine, in response to determining that at least one object in at least one ROI matches at least one predefined object, that the at least one ROI is suitable for capture in an ultra-wide-angle image capture mode.

[0026] Another objective of the embodiments described herein is to provide at least one recommendation for switching from a non-ultra-wide-angle image capture mode to an ultra-wide-angle image capture mode to capture images.

[0027] Another objective of the embodiments described herein is to provide feedback for capturing an image of at least one ROI in ultra-wide-angle image capture mode.

[0028] Another objective of the embodiments described herein is to capture scene data of at least one ROI in ultra-wide-angle image capture mode.

[0029] Another objective of the embodiments described herein is to automatically modify or correct at least a portion of the scene data corresponding to at least one ROI based on feedback.

[0030] Another objective of the embodiments described herein is to generate an image based on a modified portion of the scene data corresponding to at least one ROI or a corrected portion of the scene data corresponding to at least one ROI.

[0031] Therefore, embodiments of this document disclose a method for recommending image capture modes by an electronic device. The method includes having the electronic device identify at least one region of interest (ROI) displayed in a camera preview of the electronic device for capturing images in a non-ultra-wide-angle image capture mode. Furthermore, the method includes having the electronic device determine that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode. Additionally, the method includes having the electronic device provide at least one recommendation to switch from a non-ultra-wide-angle image capture mode to an ultra-wide-angle image capture mode for image capture.

[0032] In one embodiment, at least one recommendation is provided in the camera preview of the electronic device.

[0033] In one embodiment, determining by an electronic device that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode includes: determining by the electronic device that at least one object in the at least one ROI; determining by the electronic device whether the at least one object in the at least one ROI matches at least one predefined object; and determining that the at least one ROI is suitable for capture in an ultra-wide-angle image capture mode in response to determining that the at least one object in the at least one ROI matches at least one predefined object.

[0034] In one embodiment, the method further includes providing feedback from an electronic device for capturing an image of at least one ROI in an ultra-wide-angle image capture mode. Additionally, the method includes activating the ultra-wide-angle image capture mode by the electronic device. Furthermore, the method includes generating an image of at least one ROI in the ultra-wide-angle image capture mode by the electronic device based on the feedback.

[0035] In one embodiment, generating an image of at least one ROI by an electronic device based on feedback in an ultra-wide-angle image capture mode includes: capturing scene data of at least one ROI by the electronic device in the ultra-wide-angle image capture mode; automatically modifying or correcting at least a portion of the scene data corresponding to at least one ROI by the electronic device based on feedback; and generating the image by the electronic device based on the modified portion or the corrected portion of the scene data corresponding to at least one ROI.

[0036] In one embodiment, at least one recommendation is provided when both the wide-angle lens and the telephoto lens are activated.

[0037] In one embodiment, a suggestion to switch to an ultra-wide-angle lens may be provided after analyzing wide-frame data, and the ultra-wide-angle lens may be activated after the user makes a selection based on the suggestion.

[0038] In one embodiment, at least one ROI is automatically identified based on at least one of the following: the presence of a person in the camera preview, and the user's gaze direction toward at least a portion of the camera preview.

[0039] Therefore, embodiments of this document disclose an electronic device for recommending image capture modes. The electronic device includes a processor coupled to a memory. The processor is configured to identify at least one Region of Interest (ROI) displayed in a camera preview of the electronic device for capturing images in a non-ultra-wide-angle image capture mode. Furthermore, the processor is configured to determine that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode. Additionally, the processor is configured to provide at least one recommendation to switch from the non-ultra-wide-angle image capture mode to the ultra-wide-angle image capture mode for image capture.

[0040] Therefore, embodiments of this document disclose a method for recommending image capture modes by an electronic device. The method includes the electronic device identifying at least one Region of Interest (ROI) displayed in the camera preview of the electronic device. Furthermore, the method includes the electronic device determining at least one image capture mode from a plurality of image capture modes based on the at least one ROI. Additionally, the method includes the electronic device providing at least one recommendation to activate the at least one image capture mode determined from the plurality of image capture modes to capture an image.

[0041] In one embodiment, determining at least one image capture mode from a plurality of image capture modes based on at least one ROI includes: determining at least one object in at least one ROI; determining that at least one object in at least one ROI matches at least one predefined object; and determining at least one image capture mode from a plurality of image capture modes based on the determination.

[0042] In one embodiment, the method further includes providing feedback for capturing an image of at least one ROI in a determined at least one image capture mode. Furthermore, the method includes generating an image of at least one ROI based on the feedback in the determined at least one image capture mode.

[0043] Therefore, embodiments of this document disclose an electronic device for recommending image capture modes. The electronic device includes a processor coupled to a memory. The processor is configured to identify at least one Region of Interest (ROI) displayed in a camera preview of the electronic device. Furthermore, the processor is configured to determine at least one image capture mode from a plurality of image capture modes based on the at least one ROI. Additionally, the processor is configured to provide at least one recommendation to activate the at least one image capture mode determined from the plurality of image capture modes to capture an image.

[0044] These and other aspects of the embodiments herein will be better understood and appreciated when considered in conjunction with the following description and accompanying drawings. However, it should be understood that while the following description indicates preferred embodiments and many specific details thereof, it is given by way of illustration rather than limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit of the invention, and the embodiments herein include all such modifications.

[0045] The embodiments herein, along with their various features and advantageous details, are explained more fully with reference to the non-limiting embodiments illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques have been omitted so as not to unnecessarily obscure the embodiments herein. Furthermore, the various embodiments described herein are not necessarily mutually exclusive, as some embodiments may be combined with one or more other embodiments to form new embodiments. Unless otherwise stated, the term "or" as used herein means non-exclusive or. The examples used herein are intended only to facilitate understanding of how the embodiments herein can be practiced and to further enable those skilled in the art to practice the embodiments herein. Therefore, the examples should not be construed as limiting the scope of the embodiments herein.

[0046] As is common in the art, embodiments can be described and illustrated around blocks that perform one or more of the described functions. These blocks, which may be referred to herein as managers, units, modules, hardware components, etc., are physically implemented by analog and / or digital circuitry (e.g., logic gates, integrated circuits, microprocessors, microcontrollers, memory circuitry, passive electronic components, active electronic components, optical components, hardwired circuitry, etc.) and may optionally be driven by firmware and software. The circuitry may, for example, be implemented in one or more semiconductor chips or on a substrate support such as a printed circuit board. The circuitry constituting a block may be implemented by dedicated hardware or by a processor (e.g., one or more programmed microprocessors and associated circuitry), or by a combination of dedicated hardware performing some functions of the block and a processor performing other functions of the block. Each block of an embodiment may be physically divided into two or more interactive and discrete blocks without departing from the scope of this disclosure. Similarly, the blocks of an embodiment may be physically combined into more complex blocks without departing from the scope of this disclosure.

[0047] Therefore, embodiments of this document provide a method for recommending image capture modes by an electronic device. The method includes having the electronic device identify at least one region of interest (ROI) displayed in a camera preview of the electronic device for capturing images in a non-ultra-wide-angle image capture mode. Furthermore, the method includes having the electronic device determine that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode. Additionally, the method includes having the electronic device provide at least one recommendation to switch from a non-ultra-wide-angle image capture mode to an ultra-wide-angle image capture mode for image capture.

[0048] The proposed method can be used to sense, analyze, and understand a wider field of view, and recreate natural or artificial light from the environment (physical world) into a current real-time experience to capture better images. Electronic devices include an ultra-wide-angle lens for better scene understanding to sense significant motion in the background, thereby triggering light-painting properties for capture. This method can be used to understand the scene to provide intelligent capture suggestions.

[0049] This method utilizes ultra-wide-angle lenses in conjunction with telephoto lenses and AI-powered wide-angle lenses to provide optimal composition for capturing photos. The system offers effortless and automatically triggered capture suggestions to achieve iconic aesthetics in shooting using the intelligence (optimal composition) within the ultra-wide-angle lens and the phone.

[0050] Electronic devices enable users to capture the best possible shot, even in situations where resources such as light (where the subject is dark), by borrowing and recreating actual ambient lighting for natural-looking output. The system utilizes the field of view of an ultra-wide-angle lens to ensure optimal composition due to greater data availability. This improves the user experience.

[0051] Typically, each scene has its own set of rules, which may be incomprehensible to the average camera user. In one example, simply moving a few steps away from the object might yield a better photo, a point the user might not understand. Based on the proposed method, performing wide-scene analysis and providing instructions / suggested actions can help users achieve excellent captures based on shooting rules.

[0052] Now refer to the accompanying drawings, more specifically to Figures 1 to 2000. Figure 8b The preferred embodiments are shown in Figures 1 to 12. Figure 8b In the figures, similar reference numerals always indicate corresponding features in the figures.

[0053] Figure 1 illustrates various blocks of an electronic device (100) for recommending image capture modes according to embodiments disclosed herein. The electronic device (100) may be, for example, but not limited to, a cellular phone, smartphone, personal digital assistant (PDA), tablet computer, laptop computer, virtual reality device, mixed reality device, augmented reality device, multi-camera system, smartwatch, etc.

[0054] In one embodiment, the electronic device (100) includes a processor (110), a communicator (120), a memory (130), a display (140), an ultra-wide-angle lens (150), a telephoto lens (160), a sensor (170), an image capture application (180), and a wide-angle lens (190). The processor (110) is coupled to the communicator (120), the memory (130), the display (140), the ultra-wide-angle lens (150), the telephoto lens (160), the sensor (170), the image capture application (180), and the wide-angle lens (190).

[0055] In one embodiment, the processor (110) is configured to identify at least one Region of Interest (ROI) displayed in a camera preview for capturing images in a non-ultra-wide-angle image capture mode. In one embodiment, the camera preview is displayed on an image capture application (180). In one embodiment, at least one ROI is automatically identified based on at least one of the following: the presence of a user in the camera preview, and the user's gaze direction toward at least a portion of the camera preview. In one embodiment, a sensor (170) is used to identify the presence of a user in the camera preview and the user's gaze direction toward at least a portion of the camera preview. After identifying at least one ROI displayed in the camera preview for capturing images in a non-ultra-wide-angle image capture mode, the processor (110) is configured to determine that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode.

[0056] In one embodiment, the processor (110) is configured to determine at least one object in at least one Region of Interest (ROI), and to determine whether at least one object in at least one ROI matches at least one predefined object. The predefined object may be, for example, but not limited to, mountains, sky, snow, sunset, sunrise, waterfall, beach, city, waterside scenery, stage, people, etc. Furthermore, the processor (110) is configured to, in response to determining that at least one object in at least one ROI matches at least one predefined object, determine that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode.

[0057] Based on this determination, the processor (110) is configured to provide at least one recommendation to switch from a non-ultra-wide-angle image capture mode to an ultra-wide-angle image capture mode to capture an image. In one example, the electronic device (100) switches from a telephoto lens (160) to an ultra-wide-angle lens (150) to capture an image. In one embodiment, at least one recommendation is provided in the camera preview. At least one recommendation is provided when both the wide-angle lens (190) and the telephoto lens (160) are activated. In one embodiment, a suggestion to switch to the ultra-wide-angle lens (150) may be provided after analysis of wide-screen data, and the ultra-wide-angle lens (150) may be activated after the user makes a selection based on the suggestion.

[0058] An ultra-wide-angle lens (150) manipulates the view to obtain a better aesthetic and gain perspective. A telephoto lens (160) is a camera lens designed to take photographs of a user or object at medium to long distances or any distance. A wide-angle lens (190) is a lens whose focal length for a given film plane is substantially smaller than that of a regular lens. An ultra-wide-angle lens (150) is a lens whose focal length is shorter than the short side of the sensor (170).

[0059] In another embodiment, the processor (110) is configured to identify at least one ROI displayed in the camera preview. Furthermore, the processor (110) is configured to determine at least one image capture mode from a plurality of image capture modes based on the at least one ROI. Additionally, the processor is configured to provide at least one recommendation to activate the at least one image capture mode determined from the plurality of image capture modes to capture an image. In one example, based on at least one ROI, the electronic device (100) activates the ultra-wide-angle lens (150) among the ultra-wide-angle lens (150), telephoto lens (160), and wide-angle lens (190) to capture an image.

[0060] Furthermore, the processor (110) is configured to provide feedback for capturing an image of at least one ROI in the ultra-wide-angle image capture mode. Furthermore, the processor (110) is configured to activate the ultra-wide-angle image capture mode. Furthermore, the processor (110) is configured to generate an image of at least one ROI in the ultra-wide-angle image capture mode based on the feedback.

[0061] In one embodiment, the processor (110) is configured to capture scene data of at least one ROI in an ultra-wide-angle image capture mode. Furthermore, the processor (110) is configured to automatically modify or correct at least a portion of the scene data corresponding to the at least one ROI based on feedback. Additionally, the processor (110) is configured to generate an image based on the modified portion or the corrected portion of the scene data corresponding to the at least one ROI.

[0062] Furthermore, the communicator (120) is configured to communicate internally between internal hardware components and with external devices via one or more networks. The memory (130) stores instructions to be executed by the processor (110). The memory (130) may include non-volatile storage elements. Examples of such non-volatile storage elements may include magnetic hard disks, optical disks, floppy disks, flash memory, or electrically programmable memory (EPROM) or electrically erasable programmable memory (EEPROM). Additionally, in some examples, the memory (130) may be considered a non-transitory storage medium. The term "non-transitory" may indicate that the storage medium is not embodied in a carrier wave or a propagating signal. However, the term "non-transitory" should not be construed as meaning that the memory (130) is immovable. In some examples, the memory (130) may be configured to store a larger amount of information than is currently available. In some examples, a non-transitory storage medium may store data that can change over time (e.g., in random access memory (RAM) or a cache).

[0063] exist Figures 3a to 8b Various examples of electronic devices (100) configured to the recommended image capture mode are illustrated in the text.

[0064] although Figure 1a Various hardware components of the electronic device (100) are shown, but it should be understood that other embodiments are not limited thereto. In other embodiments, the electronic device (100) may include fewer or more components. Furthermore, the labels or names of the components are for illustrative purposes only and do not limit the scope of the invention. One or more components may be combined to perform the same or substantially similar functions to recommend image capture modes in the electronic device (100).

[0065] Figure 1b Various blocks of a processor (110) according to embodiments disclosed herein are shown. In one embodiment, the processor (110) includes an object detector (110a), an ROI detector (110b), a scene classifier (110c), a scene analyzer (110d), a view corrector (110e), a feedback provider (110f), and an ultra-wide-angle image capture mode activator (110g).

[0066] In one embodiment, the ROI detector (110b) is configured to identify at least one ROI displayed in a camera preview for capturing images in a non-ultra-wide-angle image capture mode. After identifying at least one ROI displayed in the camera preview for capturing images in a non-ultra-wide-angle image capture mode, a scene classifier (110c) and a scene analyzer (110d) are configured to determine that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode.

[0067] In one embodiment, an object detector (110a) is configured to identify at least one object in at least one ROI, and a view corrector (110e) determines whether at least one object in at least one ROI matches at least one predefined object. Furthermore, a scene classifier (110c) and a scene analyzer (110d) are configured to determine, in response to determining that at least one ROI matches at least one predefined object, that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode.

[0068] Based on this determination, the ultra-wide-angle image capture mode activator (110g) is configured to provide at least one recommendation to switch from the non-ultra-wide-angle image capture mode to the ultra-wide-angle image capture mode to capture images.

[0069] Furthermore, the feedback provider (110f) is configured to provide feedback for capturing an image of at least one ROI in the ultra-wide-angle image capture mode. Furthermore, the ultra-wide-angle image capture mode activator (110g) is configured to activate the ultra-wide-angle image capture mode. Furthermore, the ultra-wide-angle image capture mode activator (110g) is configured to generate an image of at least one ROI in the ultra-wide-angle image capture mode based on the feedback.

[0070] although Figure 1b Various hardware components of the processor (110) are shown, but it should be understood that other embodiments are not limited thereto. In other embodiments, the processor (110) may include fewer or more components. Furthermore, the labels or names of the components are for illustrative purposes only and do not limit the scope of the invention. One or more components may be combined to perform the same or substantially similar functions to recommend image capture modes in the electronic device (100).

[0071] Figure 2a This is a flowchart (S200) illustrating a method for recommending an image capture mode according to an embodiment disclosed herein. Operations (S202-S206) are performed by a processor (110).

[0072] In S202, the method includes identifying at least one ROI displayed in a camera preview of the electronic device (100) for capturing images in a non-ultra-wide-angle image capture mode. In S204, the method includes determining that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode. In S206, the method includes providing at least one recommendation to switch from a non-ultra-wide-angle image capture mode to an ultra-wide-angle image capture mode for image capture.

[0073] Figure 2bThis is a flowchart (S204) illustrating various operations (S204a-S204c) for determining at least one ROI suitable for capture in an ultra-wide-angle image capture mode, according to embodiments disclosed herein. The operations (S204a-S204c) are performed by a processor (110).

[0074] In S204a, the method includes identifying at least one object in at least one ROI. In S204b, the method includes determining whether at least one object in at least one ROI matches at least one predefined object. In S204c, the method includes determining, in response to determining that at least one object in at least one ROI matches at least one predefined object, that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode.

[0075] Figure 2c This is another flowchart (S300) illustrating a method for recommending an image capture mode according to embodiments disclosed herein. Operations (S302-S306) are performed by a processor (110). In S302, the method includes identifying at least one Region of Interest (ROI) displayed in a camera preview. In S302, the method includes determining at least one image capture mode from a plurality of image capture modes based on the at least one ROI. In S306, the method includes providing at least one recommendation to activate the at least one image capture mode determined from the plurality of image capture modes to capture an image.

[0076] In one embodiment, determining at least one image capture mode from a plurality of image capture modes based on at least one ROI includes: determining at least one object in at least one ROI; determining that at least one object in at least one ROI matches at least one predefined object; and determining at least one image capture mode from a plurality of image capture modes based on the determination.

[0077] Various actions, behaviors, boxes, steps, etc., in the flowcharts (S200, S204, and S300) can be executed in the presented order, in different orders, or simultaneously. Furthermore, in some embodiments, without departing from the scope of the invention, some actions, behaviors, boxes, steps, etc., can be omitted, added, modified, or skipped.

[0078] Figures 3a to 8b This is an example scenario in which an electronic device (100) recommends an image capture mode according to an embodiment disclosed herein.

[0079] like Figure 3a As shown, the electronic device (100) identifies the mountains present in the camera preview in the current image capture mode. Figure 3bAs shown, the electronic device (100) compares the mountains identified in the current image capture mode with mountains in a repository of predefined mountain objects suitable for capture in the ultra-wide-angle image capture mode. Figure 3c As shown, based on comparison, if the mountain in the current image capture mode matches a mountain in a predefined mountain object in the repository, the electronic device (100) provides a recommendation in the preview to switch to the ultra-wide-angle image capture mode.

[0080] like Figure 4a and Figure 4b As shown, the electronic device (100) identifies the ROI displayed in the camera preview for capturing images in a non-ultra-wide-angle image capture mode. The electronic device (100) identifies the user's eye gaze direction and suggests that the ultra-wide-angle lens (150) (i.e., switch from the non-ultra-wide-angle image capture mode to the ultra-wide-angle image capture mode to capture the image) leave space in front of the user. The ultra-wide-angle lens (150) manipulates the view to achieve a better aesthetic effect.

[0081] like Figure 5a and Figure 5b As shown, the electronic device (100) identifies at least one ROI displayed in the camera preview for capturing mountain images in a non-ultra-wide-angle image capture mode. Furthermore, the electronic device (100) determines that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode. Additionally, the electronic device (100) provides a recommendation (i.e., selecting an ultra-wide-angle lens (150) for the scenery of interest) to switch from the non-ultra-wide-angle image capture mode to the ultra-wide-angle image capture mode to capture mountain images.

[0082] like Figure 6a and Figure 6b As shown, the electronic device (100) identifies at least one Region of Interest (ROI) displayed in a camera preview for capturing a child in a non-ultra-wide-angle image capture mode. Furthermore, the electronic device (100) uses the child's eye orientation to determine that at least one ROI is suitable for capture in the ultra-wide-angle image capture mode. Additionally, the electronic device (100) provides a recommendation (i.e., selecting an ultra-wide-angle lens (150) and applying cropping to ensure the user's eye position) to switch from the non-ultra-wide-angle image capture mode to the ultra-wide-angle image capture mode for capturing images of the child.

[0083] like Figure 7a and Figure 7bAs shown, the electronic device (100) identifies at least one ROI displayed in the camera preview for capturing an object in a non-ultra-wide-angle image capture mode. Furthermore, the electronic device (100) determines that at least one ROI is suitable for capture in an ultra-wide-angle image capture mode. Additionally, the electronic device (100) provides recommendations (i.e., identifying the object's direction of movement, selecting an ultra-wide-angle lens (150), and appropriate cropping to allow for movement) to switch from the non-ultra-wide-angle image capture mode to the ultra-wide-angle image capture mode for capturing the object.

[0084] like Figure 8a and Figure 8b As shown, the electronic device (100) identifies at least one ROI displayed in the camera preview for capturing a subject in a non-ultra-wide-angle image capture mode. Furthermore, the electronic device (100) determines that at least one ROI is suitable for capture in ultra-wide-angle image capture mode based on the subject's head orientation. Additionally, the electronic device (100) provides recommendations (i.e., selecting an ultra-wide-angle lens (150) and appropriate cropping to leave sufficient space above the subject's head) to switch from the non-ultra-wide-angle image capture mode to the ultra-wide-angle image capture mode for capturing the subject.

[0085] The embodiments disclosed herein can be implemented using at least one software program that runs on at least one hardware device and performs network management functions to control the elements.

[0086] The foregoing description of specific embodiments fully discloses the general nature of the embodiments herein, enabling those skilled in the art to readily modify and / or adapt these specific embodiments for various applications without departing from the overall conception, by applying existing knowledge. Therefore, such modifications and adaptations should and are intended to be included within the meaning and scope of equivalents of the disclosed embodiments. It should be understood that the phrases or terms used herein are for descriptive purposes and not restrictive. Thus, although embodiments herein have been described with reference to preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modifications within the spirit and scope of the embodiments described herein.

Claims

1. An electronic device (100) for recommending image capture modes, comprising: Memory (130); as well as The processor (110), coupled to the memory (130), is configured to: Based on the direction of a person's eyes in the camera preview of the electronic device (100) for capturing images in a non-ultra-wide-angle image capture mode, at least one region of interest (ROI) displayed in the camera preview is identified; Determine that the at least one ROI is suitable for capture in an ultra-wide-angle image capture mode; as well as At least one recommendation is provided to switch from the non-ultra-wide-angle image capture mode to the ultra-wide-angle image capture mode to capture the image and apply cropping to ensure the position of the human eye. The ultra-wide-angle image capture mode uses an ultra-wide-angle lens to capture the image, and Determining that the at least one ROI is suitable for capture in the ultra-wide-angle image capture mode includes: Identify at least one object in the at least one ROI; Determine whether the at least one object in the at least one ROI matches at least one predefined object; and In response to determining that at least one object in the at least one ROI matches the at least one predefined object, the at least one ROI is determined to be suitable for capture in the ultra-wide-angle image capture mode.

2. The electronic device (100) according to claim 1, wherein, The at least one recommendation is provided in the camera preview of the electronic device (100).

3. The electronic device (100) according to claim 1, wherein, The processor (110) is also configured to: At least one image capture mode is determined from multiple image capture modes based on the at least one ROI; and At least one recommendation is provided to activate the at least one image capture mode determined from the plurality of image capture modes to capture an image.

4. The electronic device (100) according to claim 3, wherein, The at least one recommendation is provided in the camera preview of the electronic device (100).

5. The electronic device (100) according to claim 3, wherein, Determining the at least one image capture mode from the plurality of image capture modes based on the at least one ROI includes: Identify at least one object in the at least one ROI; Determine that at least one object in at least one ROI matches at least one predefined object; and The at least one image capture mode is determined from the plurality of image capture modes by determining that the at least one object in the at least one ROI matches the at least one predefined object.

6. The electronic device (100) according to claim 3, wherein, The processor (110) is configured to: Provide feedback for capturing images of the at least one ROI in the determined at least one image capture mode; as well as Based on the feedback, an image of the at least one ROI is generated in the determined at least one image capture mode.

7. The electronic device (100) according to claim 6, wherein, Generating an image based on the feedback in the determined at least one image capture mode includes: Scene data of the at least one ROI is captured in the determined at least one image capture mode; Based on the feedback, automatically modify or correct at least a portion of the scene data corresponding to the at least one ROI; and The image is generated based on a modified portion of the scene data corresponding to the at least one ROI or a corrected portion of the scene data corresponding to the at least one ROI.

Images