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Proceedings Paper

Iterative factorization method for object recognition
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Paper Abstract

The factorization method by Tomasi and Kanade gives a stable and an accurate reconstruction. However is difficult to apply their method to real-time applications. Then we present an iterative factorization method for the GAP model with tracking the feature points. In this method, through the fixed size measurement matrix, which is independent of the number of the frames, the motion and the shape are to be reconstructed at every frame. Some experiments are also given to show the performance of our proposed iterative method.

Paper Details

Date Published: 2 October 1998
PDF: 10 pages
Proc. SPIE 3454, Vision Geometry VII, (2 October 1998); doi: 10.1117/12.323255
Show Author Affiliations
Jun Fujiki, Electrotechnical Lab. (Japan)
Takeshi Kurata, Electrotechnical Lab. (Japan)
Masaru Tanaka, Electrotechnical Lab. (Japan)

Published in SPIE Proceedings Vol. 3454:
Vision Geometry VII
Robert A. Melter; Angela Y. Wu; Longin Jan Latecki, Editor(s)

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