Iterative factorization method for object recognition
Jun Fujiki, Takeshi Kurata, Masaru Tanaka · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
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.