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3D Reconstruction from Two 2D Images

3D Reconstruction from Two 2D Images. Ted Shultz and Luis A. Rodriguez ECE 533 – Image Processing Fall 2003. Goal. Develop an algorithm to reconstruct a 3D world scene from two static 2D images. Camera. Camera. Left Image. Right Image. Approach. Acquire digital images

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3D Reconstruction from Two 2D Images

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

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

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

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

  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.

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