Optimal computation of 3-D similarity: Gauss–Newton vs. Gauss–Helmert
نویسندگان
چکیده
منابع مشابه
Optimal computation of 3-D similarity: Gauss-Newton vs. Gauss-Helmert
Because 3-D data are acquired using 3-D sensing such as stereo vision and laser range finders, they have inhomogeneous and anisotropic noise. This paper studies optimal computation of the similarity (rotation, translation, and scale change) of such 3-D data. We first point out that the Gauss-Newton and the Gauss-Helmert methods, regarded as different techniques, have similar structures. We then...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2012
ISSN: 0167-9473
DOI: 10.1016/j.csda.2012.03.014