Systems and methods for automated image capture assistance and dual camera mode

1 . A method comprising:

receiving a first capture stream from a first camera of a computing device;

receiving a second capture stream from a second camera of the computing device, wherein the first camera and the second camera face in different directions;

identifying a region of the first capture stream to include as an overlay over a portion of the second capture stream;

mirroring the region of the first capture stream to obtain consistency of lighting between the region of the first capture stream and the second capture stream;

generating the overlay that includes the mirrored region of the first capture stream;

generating a combined frame comprising a frame from the second capture stream with the generated overlay from the region of the first capture stream;

identifying, via image component analysis, a plurality of image components in the combined frame;

comparing the identified components to at least one predetermined image rule;

determining, based on the comparing, that the combined frame meets a threshold criterion; and

in response to the determining, storing an image based on the combined frame in a non-transitory memory.

2 . The method of claim 1 , wherein the method further comprises generating a combined stream comprising the generated overlay from the region of the first capture stream, at a first location, over the portion of the second capture stream.

3 . The method of claim 1 , wherein the at least one predetermined image rule is a golden spiral rule or a rule-of-thirds rule.

4 . The method of claim 1 , wherein the method further comprises:

generating, for output, the combined frame; and

generating, for output, an indicator associated with storing the image.

5 . The method of claim 1 , wherein identifying the region of the first capture stream further comprises:

identifying a person in the first capture stream; and

generating, via chroma key compositing, the person as the overlay.

6 . The method of claim 1 , further comprising:

generating, for output, a user interface element for moving the generated overlay from the region of the first capture stream in the combined frame;

receiving user input associated with the user interface element; and

moving, based on the received input, the generated overlay from the region of the first capture stream from a first location to a second location in the combined frame.

7 . The method of claim 6 , further comprising:

identifying a suggested location for relocating the generated overlay from the region of the first capture stream in the combined frame; and

generating, for output, an indicator associated with the suggested location.

8 . The method of claim 1 , further comprising:

generating, for output, a user interface element for resizing the generated overlay from the region of the first capture stream in the combined frame;

receiving, at the computing device, user input associated with the user interface element; and

resizing, based on the received input, the generated overlay from the region of the first capture stream from a first size to a second size in the combined frame.

9 . The method of claim 1 , wherein:

identifying the region of the first capture stream further comprises identifying a plurality of sub-regions, each sub-region associated with a face of a person;

the method further comprises receiving, at the computing device, input associated with selecting one or more of the sub-regions; and

the overlay comprises the faces associated with the selected sub-regions.

10 . The method of claim 1 , wherein:

determining that the combined frame meets the threshold criterion further comprises performing the determining via a trained machine learning model; and

the non-transitory memory is a memory of one or more of a computing device and a cloud server.

11 . The method of claim 1 , wherein mirroring the region of the first capture stream comprises aligning a first direction of a source of light associated with the overlay with a second direction of a source of light associated with the second capture stream.

12 . A system comprising:

input circuitry configured to:

receive a first capture stream from a first camera of a computing device; and

receive a second capture stream from a second camera of the computing device, wherein the first camera and the second camera face in different directions; and

control circuitry configured to:

identify a region of the first capture stream to include as an overlay over a portion of the second capture stream;

mirror the region of the first capture stream to obtain consistency of lighting between the region of the first capture stream and the second capture stream;

generate the overlay that includes the mirrored region of the first capture stream;

generate a combined frame comprising a frame from the second capture stream with the generated overlay from the region of the first capture stream;

identify, via image component analysis, a plurality of image components in the combined frame;

compare the identified components to at least one predetermined image rule;

determine, based on the comparing, that the combined frame meets a threshold criterion; and

in response to the determining, store an image based on the combined frame in a non-transitory memory.

13 . The system of claim 12 , wherein the control circuitry is configured to generate a combined stream comprising the generated overlay from the region of the first capture stream, at a first location, over the portion of the second capture stream.

14 . The system of claim 12 , wherein the at least one predetermined image rule is a golden spiral rule or a rule-of-thirds rule.

15 . The system of claim 12 , wherein the control circuitry is further configured to:

generate, for output, the combined frame; and

generate, for output, an indicator associated with storing the image.

16 . The system of claim 12 , wherein the control circuitry configured to identify the region of the first capture stream is further configured to:

identify a person in the first capture stream; and

generate, via chroma key compositing, the person as the overlay.

17 . The system of claim 12 , wherein the control circuitry is further configured to:

generate, for output, a user interface element for moving the generated overlay from the region of the first capture stream in the combined frame;

receive user input associated with the user interface element; and

move, based on the received input, the generated overlay from the region of the first capture stream from a first location to a second location in the combined frame.

18 . The system of claim 17 , wherein the control circuitry is further configured to:

identify a suggested location for relocating the generated overlay from the region of the first capture stream in the combined frame; and

generate, for output, an indicator associated with the suggested location.

19 . The system of claim 12 , wherein the control circuitry is further configured to:

generate, for output, a user interface element for resizing the generated overlay from the region of the first capture stream in the combined frame;

receive, at the computing device, user input associated with the user interface element; and

resize, based on the received input, the generated overlay from the region of the first capture stream from a first size to a second size in the combined frame.

20 . The system of claim 12 , wherein:

the control circuitry configured to identify the region of the first capture stream is further configured to identify a plurality of sub-regions, each sub-region associated with a face of a person;

the control circuitry is further configured to receive, at the computing device, input associated with selecting one or more of the sub-regions; and

the overlay comprises the faces associated with the selected sub-regions.

21 . The system of claim 12 , wherein:

the control circuitry configured to determine that the combined frame meets the threshold criterion is further configured to perform the determining via a trained machine learning model; and

the non-transitory memory is a memory of one or more of a computing device or a cloud server.

22 . The system of claim 12 , wherein mirroring the region of the first capture stream comprises aligning a first direction of a source of light associated with the overlay with a second direction of a source of light associated with the second capture stream.