Methods, systems, and computer-readable storage media for generating three-dimensional (3D) images of a scene
Disclosed herein are methods, systems, and computer-readable storage media for generating three-dimensional (3D) images of a scene. According to an aspect, a method includes capturing a real-time image and a first still image of a scene. Further, the method includes displaying the real-time image of the scene on a display. The method also includes determining one or more properties of the captured images. The method also includes calculating an offset in a real-time display of the scene to indicate a target camera positional offset with respect to the first still image. Further, the method includes determining that a capture device is in a position of the target camera positional offset. The method also includes capturing a second still image. Further, the method includes correcting the captured first and second still images. The method also includes generating the three-dimensional image based on the corrected first and second still images.
1. An apparatus for continuously determining three-dimensional images from a plurality of images, the apparatus comprising:
receiving a plurality of images;
select two images from the plurality of the received images;
perform a series of computations between the selected two images to generate a plurality of image characteristics;
compare the generated characteristics between the two images to determine whether the two images are similar given a set of criteria for each characteristic;
if one or more of the similarity criteria is met, the two images are considered as a stereoscopic candidate pair;
the stereoscopic candidate pair is further analyzed to determine whether the two images can be used to create a stereoscopic pair by performing the following operations:
perform edge detection on the stereoscopic candidate pair;
match detected edges between the two images and determine image correspondence;
in case there is image correspondence, determine image that corresponds to the left eye and which image corresponds to the right eye;
rectify the two images to correct for camera viewpoint;
compute and adjust parallax of the rectified images;
create a stereoscopic pair based on the parallax adjusted image.
2. The apparatus of claim 1 , wherein the characteristic is the average value of each color of all pixels in an image.
3. The apparatus of claim 1 , wherein the characteristic is the average value of each color of all pixels in a segment of an image.
4. The apparatus of claim 1 , wherein the characteristic is one of the min or max value of each color of all pixels in an image.
5. The apparatus of claim 1 , wherein a set of similarity criteria between the selected two images is the absolute value of the difference of the average image values.
6. The apparatus of claim 1 , wherein a set of similarity criteria between two images is the absolute value of the difference of the segmented average image values.
7. The apparatus of claim 1 , wherein a set of similarity criteria between the selected two images is the absolute value of the difference of the segmented average image values.
8. The apparatus of claim 1 , wherein a set of similarity criteria between the selected, two images is the absolute value of the difference of one of the minimum and the maximum image values.
9. A method for continuously determining three-dimensional images from a plurality of images, the method comprising:
receiving a plurality of images;
select two images from the plurality of the received images;
perform a series of computations between the selected two images to generate a plurality of image characteristics;
compare the generated characteristics between the two images to determine whether the two images are similar given a set of criteria for each characteristic;
if one or more of the similarity criteria is met, the two images are considered as a stereoscopic candidate pair;
the stereoscopic candidate pair is further analyzed to determine whether the two images can be used to create a stereoscopic pair by performing the following operations:
perform edge detection on the stereoscopic candidate pair;
match detected edges between the two images and determine image correspondence;
in case there is image correspondence, determine image that corresponds to the left eye and which image corresponds to the right eye;
rectify the two images to correct for camera viewpoint;
compute and adjust parallax of the rectified images;
create a stereoscopic pair based on the parallax adjusted image.
10. The apparatus of claim 9 , wherein the characteristic is the average value of each color of all pixels in an image.
11. The apparatus of claim 9 , wherein the characteristic is the average value of each color of all pixels in a segment of an image.
12. The apparatus of claim 9 , wherein the characteristic is one of the min or max value of each color of all pixels in an image.
13. The apparatus of claim 9 , wherein a set of similarity criteria between the selected two images is the absolute value of the difference of the average image values.
14. The apparatus of claim 9 , wherein a set of similarity criteria between the selected two images is the absolute value of the difference of the segmented average image values.
15. The apparatus of claim 9 , wherein a set of similarity criteria between the selected two images is the absolute value of the difference of the segmented average image values.
16. The apparatus of claim 9 , wherein a set of similarity criteria between two images is the absolute value of the difference of one of the minimum and the maximum image values.