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Proceedings Paper

Optimized target-matching based on a 3D space intersection and a constrained search for multiple camera views
Author(s): Jin Chen; Timothy A. Clarke; Stuart Robson; Kenneth T. V. Grattan
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Paper Abstract

In this paper the problem of finding correspondences between target images in multiple views is studied. A 3D target matching algorithm is developed which can be used as a direct replacement for the epipolar constrained matching method without requiring precise camera parameters. Approximate camera parameters are iteratively refined by combining the matching procedure with the bundle adjustment method. Several techniques are discussed to improve the reliability and efficiency of the method using a 3D space constrained search technique for the matching of target images in multiple viewpoints. A globally consistent constrained search is developed in which pseudo target images are defined to overcome the problem of occluded targets. Hypothesis testing and heuristic method are also used to improve the efficiency and robustness of the matching process. An analysis of the methods used is given and a general algorithm is designed. The resulting algorithm is shown to successfully find the correspondence between targets using many viewpoints. Simulation trials and practical tests are performed to verify the reliability and efficiency of the algorithm.

Paper Details

Date Published: 6 October 1994
PDF: 12 pages
Proc. SPIE 2350, Videometrics III, (6 October 1994); doi: 10.1117/12.189143
Show Author Affiliations
Jin Chen, City Univ. London (United Kingdom)
Timothy A. Clarke, City Univ. London (United Kingdom)
Stuart Robson, City Univ. London (United Kingdom)
Kenneth T. V. Grattan, City Univ. London (United Kingdom)

Published in SPIE Proceedings Vol. 2350:
Videometrics III
Sabry F. El-Hakim, Editor(s)

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