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Proceedings Paper

Statistical shape analysis for image understanding and object recognition
Author(s): Peter F. Stiller
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Paper Abstract

In order to analyze the effects of noise on certain recognition and reconstruction algorithms, including the sensitivity of the so-called object/image equations and object/image metrics, one needs to study probability and statistics on shape spaces. Work along these lines was pioneered by Kendall and has been the subject of many papers over the last twenty years. In this paper we extend some of those results to affine shape spaces and then use them to relate distributions on object shapes to corresponding distributions on image shapes.

Paper Details

Date Published: 25 February 2014
PDF: 11 pages
Proc. SPIE 9019, Image Processing: Algorithms and Systems XII, 90190I (25 February 2014); doi: 10.1117/12.2041300
Show Author Affiliations
Peter F. Stiller, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 9019:
Image Processing: Algorithms and Systems XII
Karen O. Egiazarian; Sos S. Agaian; Atanas P. Gotchev, Editor(s)

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