3D motion estimation from three orthographic views without matching constraints or brightness gradients

Lehmann, Stefan and Bradley, Andrew P. (2006). 3D motion estimation from three orthographic views without matching constraints or brightness gradients. In: Signals, Systems and Computers 2006 (ACSSC 2006). 40th Asilomar Conference on Signals, Systems and Computers 2006 (ACSSC 2006), Pacific Grove, California, U.S.A., (421-424). 29 October-1 November 2006. doi:10.1109/ACSSC.2006.354781


Author Lehmann, Stefan
Bradley, Andrew P.
Title of paper 3D motion estimation from three orthographic views without matching constraints or brightness gradients
Conference name 40th Asilomar Conference on Signals, Systems and Computers 2006 (ACSSC 2006)
Conference location Pacific Grove, California, U.S.A.
Conference dates 29 October-1 November 2006
Proceedings title Signals, Systems and Computers 2006 (ACSSC 2006)   Check publisher's open access policy
Journal name 2006 Fortieth Asilomar Conference on Signals, Systems and Computers, Vols 1-5   Check publisher's open access policy
Place of Publication Piscataway, NJ, U.S.A.
Publisher IEEE - Institute of Electrical Electronics Engineers Inc.
Publication Year 2006
Sub-type Fully published paper
DOI 10.1109/ACSSC.2006.354781
ISBN 1-4244-0784-2
ISSN 1058-6393
Start page 421
End page 424
Total pages 4
Language eng
Abstract/Summary An important task in computer vision is to estimate the 3D motion of rigid objects from multiple views. Conventional methods typically rely on point correspondences or image brightness gradients. The underlying matching and brightness constraints are generally not met in practice which limits the accuracy of these techniques. In this paper, we present a new approach that performs 3D motion estimation directly from trinocular point clouds under orthography. The method requires no correspondences or brightness gradients which constitutes a major advantage over existing approaches. Results are presented which highlight the estimation accuracy of the proposed method with respect to conventional correspondence-based techniques.
Subjects 080104 Computer Vision
Keyword 3D motion estimation
Brightness gradients
Computer vision
Correspondence-based techniques
Q-Index Code E1

 
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