Kuo-chang Hwang, Naokazu Yokoya, Haruo. Takemura, Kazumasa Yamazawa  Home/Search
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Abstract: This study proposes a new factorization method for shape and motion recovery. In past, the fourth greatest singular value of the measurement matrix was ignored. But when noise is larger enough so that the fourth greatest singular value can not be ignored, it would be difficult to get reliable results by using the traditional factorization method. In order to acquire reliable results, We start with adopting an orthogonalization method to find a matrix which be composed of three mutually... (Update)
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BibTeX entry: (Update)
@misc{ hwang-factorization,
author = "Kuo-chang Hwang and Naokazu Yokoya and Haruo. Takemura and Kazumasa Yamazawa",
title = "A Factorization Method Using 3-D Linear Combination for Shape and Motion
Recovery",
url = "citeseer.ist.psu.edu/708615.html" }
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