3D Photo Creation System and Method

2. The 3D photo creation system according to claim 1 , wherein the multi-view angle image reconstructing module comprising: (c1) a base image selection module configurated to select the left eye image, the right eye image or the left eye image and the right eye image of the stereo image as a base image; (c2) an image number confirmation module configurated to confirm a number and disparity of a required image according to demand; (c3) a pixel shifting module configurated to shift pixels of the base image according to the depthmap to form a new image; (c4) a hole filling module configurated to fill holes formed from a loss of pixels in the new image; and (c5) a multi-view angle image creation module configurated to create the set of multi-view angle images.

3. The 3D photo creation system according to claim 2 , wherein the image spaced scanning module comprising: (d1) an image adjusting module configurated to adjust a size of the set of multi-view angle images; (d2) a contrast adjusting module configurated to adjust a contrast ratio of the adjusted set of multi-view angle images outputted by the image adjusting module; (d3) an image interlacing module configurated to combine the set of multi-view angle images after the contrast adjustment into a mixed image; and (d4) a mixed image output module configurated to output the mixed image.

4. The 3D photo creation system according to claim 2 , wherein the hole filling module applies the interpolation method to fill the holes formed from the loss of pixels in the new image.

5. The 3D photo creation system according to claim 2 , wherein the number of the required image is determined by an equation N=DPI/LPI, where the DPI is a dot per inch of a printer, and the LPI is a line per inch of a lenticular lens.

6. The 3D photo creation system according to claim 1 , wherein the optical flow of the pixel is determined by a coarse-to-fine strategy.

7. The 3D photo creation system according to claim 1 , wherein a foreground scene and a background scene are separated in the depthmap, the pixel at a depth value ranging within 99 to 255 represents the foreground scene and the pixel at the depth value ranging within 0 to 128 represents the background scene.

9. The 3D photo creation method according to claim 8 , wherein the step S 3 comprising: S 31 ) selecting the left eye image, the right eye image or the left eye image and the right eye image of the stereo image as a base image; S 32 ) confirming a number and disparity of a required image according to demand; S 33 ) shifting pixels of the base image according to the depthmap to form a new image; S 34 ) filling holes formed from a loss of pixels in the new image; and S 35 ) creating the set of multi-view angle images.

10. The 3D photo creation method according to claim 9 , wherein the step S 4 comprising: S 41 ) adjusting a size of the set of multi-view angle images; S 42 ) adjusting a contrast ratio of the set of multi-view angle images adjusted by the step S 41 ; S 43 ) combining the set of multi-view angle images after the contrast adjustment and forming a mixed image; S 44 ) outputting the mixed image.

11. The 3D photo creation method according to claim 9 , wherein the step 34 applies interpolation method to fill the holes formed from the loss of pixel in the new image.

12. The 3D photo creation method according to claim 9 , wherein the number of the required image is determined by an equation N=DPI/LPI, where the DPI is a dot per inch of a printer, and the LPI is a line per inch of a lenticular lens.

13. The 3D photo creation method according to claim 8 , wherein the optical flow of the pixel is determined by a coarse-to-fine strategy.

14. The 3D photo creation method according to claim 8 , wherein a foreground scene and a background scene are separated in the depthmap, the pixel having a depth value ranging within 99 to 255 represents the foreground scene and the pixel having the depth value ranging within 0 to 128 represents the background scene.