Polynocular Local Image Dissimilarity for 3D Reconstruction
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Abstract:
Our work is concerned with obtaining high-delity 3-D surface models from passive polynocular stereo. In this paper we extend our previous work towards rening a reconstructed geometric surface model. In order to avoid computational complexity of simultaneous polynocular stereo matching, depth and orientation recovery, partial model fusion, and consistent surface reconstruction, we break the task down to simpler modules that work eciently albeit introducing artifacts due to unrealistic a priori assumptions (surface plan-parallelity, etc.) These modules solve one problem at a time. The parameters of reconstructed semi-local disk-like geometric primitives (so called sh-scales) are rened in a verication step that closes the loop by recurring back to the original images. We hope that this approach will lead us to an ecient high-delity surface model recovery algorithm from polynocular stereo. 1
Citations
| 167 | Surface Modeling with Oriented Particle Systems – Szeliski, Tonneson - 1992 |
| 27 | Reconstructing complex surfaces from multiple stereo views – Fua |
| 18 | Fish-scales: Representing fuzzy manifolds – Sara, Bajcsy - 1998 |
| 12 | Computing dierential properties of 3-D shapes from stereoscopic images without 3-D models – Devernay, Faugeras - 1994 |
| 1 | Orienting Unpublished working paper – Radim - 1997 |
