Electronic device for capturing media using a bendable display and method thereof

1. A method for capturing media by a device including a plurality of flaps, wherein at least two flaps among the plurality of flaps each include at least one camera, the method comprising:

analyzing preview images of the cameras, based on a first capture mode;

adjusting a bend angle between the at least two flaps based on the analyzing of the preview images of the cameras to determine at least one baseline distance; and

obtaining at least one media in the first capture mode based on the at least one baseline distance.

2. The method of claim 1 , further comprising analyzing the preview images of the cameras based on an initial bend angle between the cameras.

3. The method of claim 1 , further comprising automatically adjusting the bend angle.

4. The method of claim 1 , further comprising identifying the first capture mode based on the analyzing of the preview images of the cameras.

5. The method of claim 4 , wherein the first capture mode is identified based on a user input selecting the first capture mode.

6. The method of claim 1 , wherein the analyzing of the preview images of the cameras comprises at least one of detecting salient objects, detecting objects at different depths, performing facial detection, detecting at least one moving object, performing pose estimation, determining depths and disparities of the detected objects, or determining registration errors.

7. The method of claim 1 , wherein the determining of the at least one baseline distance comprises:

computing an error metric for the first capture mode based on the analyzing of the preview images;

adjusting the bend angle to a first angle by changing a position of a first flap among the at least two flaps;

analyzing the preview images of the cameras at a first baseline distance according to the first angle; and

determining whether the error metric for the first capture mode is nullified, based on the analyzed preview images at the first baseline distance.

8. The method of claim 7 , further comprising, in response to determining that the error metric for the first capture mode is nullified, determining the first baseline distance as a baseline distance corresponding to the first capture mode.

9. The method of claim 7 , further comprising:

adjusting the bend angle to a second bend angle in response to determining that the error metric for the first capture mode is not nullified;

analyzing the preview images of the cameras at a second baseline distance according to the second bend angle;

determining whether the error metric for the first capture mode is nullified, based on the analyzed preview images at the second baseline distance; and

determining, as a baseline distance corresponding to the first capture mode, the second baseline distance at which the error metric for the first capture mode is nullified.

10. The method of claim 1 , further comprising, when a user selects one of a displayed plurality of buttons, adjusting the bend angle to correspond to the selected button, and align the cameras to a particular angle at which the cameras can capture the media.

11. The method of claim 1 , further comprising displaying a current bend angle or a range in which the current bend angle lies, in response to a particular user input.

12. A device for capturing media, the device comprising:

a plurality of flaps, wherein at least two flaps among the plurality of flaps each include at least one camera; and

a processor configured to:

analyze preview images of the cameras, based on a first media capture mode,

adjust a bend angle between the at least two flaps based on the analyzing of the preview images of the cameras to determine at least one baseline distance, and

obtain at least one media in the first capture mode based on the at least one baseline distance.

13. The device of claim 12 , wherein the processor is further configured to analyze the preview images of the cameras based on a baseline distance according to an initial bend angle between the cameras.

14. The device of claim 12 , further comprising a flap control unit for adjusting the bend angle.

15. The device of claim 12 , wherein the processor is further configured to automatically identify the first capture mode based on the analyzing of the preview images of the cameras.

16. The device of claim 12 , further comprising a user input selection unit for receiving a user input selecting the first capture mode.

17. The device of claim 12 , wherein, when the processor analyzes the preview images, the processor is further configured to detect salient objects, detect objects at different depths, perform facial detection, detect at least one object undergoing motion, perform pose estimation, determine depths and disparities of the detected objects, or determine registration errors.

18. The device of claim 12 , wherein the processor is further configured to:

compute an error metric for the first capture mode based on the analyzing of the preview images of the cameras;

adjust the bend angle to a first angle by changing a position of a first flap among the at least two flaps;

analyze the preview images of the cameras at a first baseline distance according to the first angle; and

determine whether the error metric for the first capture mode is nullified, based on the analyzed preview images at the first baseline distance.

19. The device of claim 18 , wherein, in response to determining that the error metric for the first capture mode is nullified, the processor is further configured to determine the first baseline distance as a baseline distance corresponding to the first capture mode.

20. The device of claim 18 , wherein the processor is further configured to:

adjust the bend angle to a second bend angle in response to determining that the error metric for the first capture mode is not nullified;

analyze the preview images of the cameras at a second baseline distance according to the second bend angle;

determine whether the error metric for the first capture mode is nullified, based on the analyzed preview images at the second baseline distance; and

determine, as a baseline distance corresponding to the first capture mode, the second baseline distance at which the error metric for the first capture mode is nullified.