1. 3D Reconstruction from Two 2D Images Ted Shultz and Luis A. Rodriguez ECE 533 – Image Processing Fall 2003

2. Goal Develop an algorithm to reconstruct a 3D world scene from two static 2D images

3. Approach Acquire digital images Match up corresponding points in both images Estimate a depth mask Generate an image from a new view. Left ImageRight Image Camera

4. Original left image of roomOriginal right image of room Left image with dots showing 150 locations that were found in both images Depth mask made from two images (brighter is closer) Depth mask overlaid on left image to show depth of various objects

5. 10 frames from included “Room Slide.mov” file.

6. Original left image of ComputerOriginal right image of Computer Depth mask made from two images (brighter is closer) Depth mask overlaid on left image to show depth of various objects

7. 10 frames from included “Computer roll.mov” file (animation must be seen to appreciate)

8. Movies Low resolution movies are currently online at: http://www.cae.wisc.edu/~shultz/movie High resolution copies are on CD and available by request

9. Conclusion Movies are convincing Masks are not perfect, but adequate to fool the eye Currently manually intensive, point matching process could be automated. Could be modified to incorporate multiple views.