System and method for depth map

1. A method comprising:

receiving, from each of two 360-degree cameras, image data;

synchronizing the image data from each of the two 360-degree cameras based on a time when the image data from each of the two 360-degree cameras is captured;

creating a depth map from the synchronized image data based in part on a distance between the two 360-degree cameras; and

generating multi-dimensional content by combining the created depth map to the synchronized image data of at least one of the two 360-degree cameras.

2. The method of claim 1 , further comprising:

matching pixels, between the synchronized image data from each of the 360-degree cameras;

deriving a comparative distance between each of the matched pixels; and

generating the depth map based on the comparative distance.

3. The method of claim 1 , wherein generating the multi-dimensional content comprises simulating three dimensional content of a 360-degree scene based on a perspective of one of the 360-degree cameras.

4. The method of claim 1 , wherein the two 360-degree cameras are positioned in a vertical alignment with a first 360 degree camera above a second 360-degree camera.

5. The method of claim 1 , wherein when the two 360-degree cameras are positioned adjacent each other, the method further comprising:

in response to deriving an object is occluded by one of the 360-degree cameras, determining a size of the object based on a second distance that the object is from a second object within a stereo view of the two 360-degree cameras.

6. The method of claim 1 , wherein when the two 360-degree cameras are positioned adjacent each other, the method further comprising:

in response to deriving an object is in between the two 360-degree cameras, determining a size of the object based on a second distance that the object is from each of the 360-degree cameras.

7. The method of claim 1 , further comprising,

determining a size of an objects by identifying the object based on object recognition.

8. An electronic device comprising:

a communication interface,

at least one processor coupled to the communication interface, the at least one processor configured to:

receive from each of two 360-degree cameras, image data;

synchronize the image data from each of the two 360-degree cameras based on a time when the image data from each of the two 360-degree cameras is captured;

create a depth map from the synchronized image data based in part on a distance between the two 360-degree cameras; and

generate multi-dimensional content by combining the created depth map with the synchronized image data of at least one of the two 360-degree cameras.

9. The electronic device of claim 8 , wherein the at least one processor is further configured to:

match pixels, between the synchronized image data from each of the 360-degree cameras;

derive a comparative distance between each of the matched pixels; and

generate the depth map based on the comparative distance.

10. The electronic device of claim 8 , wherein to generate the multi-dimensional content, the at least one processor is further configured to: simulate three dimensional content of a 360-degree scene based on a perspective of one of the 360-degree cameras.

11. The electronic device of claim 8 , wherein the two 360-degree cameras are positioned in a vertically alignment with a first 360-degree camera above a second 360-degree camera.

12. The electronic device of claim 8 , wherein:

the two 360-degree cameras are positioned adjacent each other, and

the at least one processor is further configured to determine a size of an object based on a second distance the object is from a second object within a stereo view of the two 360-degree cameras, in response to deriving the object is occluded by one of the 360-degree cameras.

13. The electronic device of claim 8 , wherein:

the two 360-degree cameras are positioned adjacent each other, and

the at least one processor is further configured to determine a size of an object based on a second distance the object is from each of the 360-degree cameras, in response to deriving the object is in between the two 360-degree cameras.

14. The electronic device of claim 8 , wherein the at least one processor is further configured to determine a size of an objects by identifying the object based on object recognition.

15. A non-transitory computer readable medium comprising program code that, when executed by at least one processor, causes the at least one processor to:

receive from each of two 360-degree cameras, image data;

synchronize the image data from each of the two 360-degree cameras based on a time when the image data from each of the two 360-degree cameras is captured;

create a depth map from the synchronized image data based in part on a distance between the two 360-degree cameras; and

generate multi-dimensional content by combining the created depth map with the synchronized image data of at least one of the 360-degree two cameras.

16. The non-transitory computer readable medium of claim 15 , further comprising program code that, when executed by the at least one processor, causes the at least one processor to:

match pixels, between the synchronized image data from each of the 360-degree cameras;

derive a comparative distance between each of the matched pixels; and

generate the depth map based on the comparative distance.

17. The non-transitory computer readable medium of claim 15 , wherein to generate the multi-dimensional content, further comprises program code that, when executed by the at least one processor, causes the at least one processor to simulate three dimensional content of a 360-degree scene based on a perspective of one of the 360-degree cameras.

18. The non-transitory computer readable medium of claim 15 , wherein the two 360-degree cameras are positioned adjacent each other, and further comprising program code that, when executed by the at least one processor, causes the at least one processor to determine a size of an object based on a second distance the object is from a second object within a stereo view of the two 360-degree cameras, in response to deriving the object is occluded by one of the 360-degree cameras.

19. The non-transitory computer readable medium of claim 15 , wherein the two 360-degree cameras are positioned adjacent each other, and further comprising program code that, when executed by the at least one processor, causes the at least one processor to determine a size of an object based on a second distance the object is from each of the 360-degree cameras, in response to deriving the object is in between the two 360-degree cameras.

20. The non-transitory computer readable medium of claim 15 , further comprising program code that, when executed by the at least one processor, causes the at least one processor to determine a size of an objects by identifying the object based on object recognition.