Super 3D from Video

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-09-C-0183
Agency Tracking Number: 08SB2-0531
Amount: $98,950.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: SB082-028
Solicitation Number: 2008.2
Small Business Information
28 Corporate Drive, Clifton Park, NY, 12065
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Amitha Perera
 Research Scientist
 (518) 371-3971
Business Contact
 Amitha Perera
Title: Research Scientist
Phone: (518) 371-3971
Research Institution
We propose to develop a novel approach to extracting 3D structure from wide-area video with sub-pixel accuracy. Multiple redundant video frames from very similar viewpoints enable super-resolution, while multiple frames from separated viewpoints enable 3D structure estimation. In our approach we will combine elements of the two processes through a variant of space carving, while avoiding the challenge of sub-pixel registration required for super-resolution. Our approach is based on voxel removal, where 3D volumetric elements are removed or “carved” out of an initial cube when their appearance is not consistent with multiple images. We will enhance space carving with edge-based analysis. Edges provide sub-pixel localization in each image, and by combining highly localized edges on occluding contours from different viewpoints we can achieve sub-pixel localization in 3D. In Phase 1, we will develop an initial end-to-end algorithm by enhancing our current techniques for space carving to include edge information. We will develop a method for regularization of the surfaces between edges, which are otherwise unconstrained and can drift away from the true geometry. The algorithm will be compared to reconstruction using super-resolved images, and we will examine the performance impact of various sensor effects such as rolling shutters and motion blur.

* information listed above is at the time of submission.

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