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  Stereo Matching for Calibrated Cameras without Correspondence

Helmke, U., Hüper, K., & Vences, L. (2008). Stereo Matching for Calibrated Cameras without Correspondence. Proceedings of the 47th IEEE Conference on Decision and Control (CDC 2008), 2408-2413.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C63D-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C63E-D
Genre: Conference Paper

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 Creators:
Helmke, U, Author
Hüper, K1, Author           
Vences, L, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: We study the stereo matching problem for reconstruction of the location of 3D-points on an unknown surface patch from two calibrated identical cameras without using any a priori information about the pointwise correspondences. We assume that camera parameters and the pose between the cameras are known. Our approach follows earlier work for coplanar cameras where a gradient flow algorithm was proposed to match associated Gramians. Here we extend this method by allowing arbitrary poses for the cameras. We introduce an intrinsic Riemannian Newton algorithm that achieves local quadratic convergence rates. A closed form solution is presented, too. The efficiency of both algorithms is demonstrated by numerical experiments.

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 Dates: 2008-12
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: http://www.ieeecss.org/CAB/conferences/cdc2008/
DOI: 10.1109/CDC.2008.4738620
BibTex Citekey: 5633
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Title: 47th IEEE Conference on Decision and Control
Place of Event: Cancun, Mexico
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Title: Proceedings of the 47th IEEE Conference on Decision and Control (CDC 2008)
Source Genre: Journal
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Publ. Info: Piscataway, NJ, USA : IEEE Service Center
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2408 - 2413 Identifier: -