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Proceedings Paper

Robustness and statistical analysis of object/image metrics
Author(s): Peter F. Stiller
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Paper Abstract

In previous papers we examined several fundamental problems related to object recognition for the generalized weak perspective model of image formation and offered a complete solution to the problems for configurations of point features. In this paper we convert those theoretical solutions to working algorithms and examine the robustness of the algorithms in the face of various combinations of errors and noise.

Paper Details

Date Published: 18 January 2006
PDF: 9 pages
Proc. SPIE 6066, Vision Geometry XIV, 60660K (18 January 2006); doi: 10.1117/12.650700
Show Author Affiliations
Peter F. Stiller, Texas A and M Univ. (United States)

Published in SPIE Proceedings Vol. 6066:
Vision Geometry XIV
Longin Jan Latecki; David M. Mount; Angela Y. Wu, Editor(s)

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