Iterative factorization method for object recognition

Jun Fujiki; Takeshi Kurata; Masaru Tanaka

doi:10.1117/12.323255

2 October 1998 Iterative factorization method for object recognition

Jun Fujiki, Takeshi Kurata, Masaru Tanaka

Proceedings Volume 3454, Vision Geometry VII; (1998) https://doi.org/10.1117/12.323255
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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.

Citation Download Citation

Jun Fujiki, Takeshi Kurata, and Masaru Tanaka "Iterative factorization method for object recognition", Proc. SPIE 3454, Vision Geometry VII, (2 October 1998); https://doi.org/10.1117/12.323255

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