Title :
Fitting deformable superquadric based on geometric distance
Author :
Furong, Wen ; Baozong, Yuan ; Xiaofang, Tang
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
We propose a geometric fitting algorithm for the deformable superquadric model, which is the computation of a measure of vector from each given point to orthogonal contacting point on the superquadric model, and estimates the optimum parameters of the model to minimize the squares sum of error distances. The estimated parameters by the proposed algorithm are invariant to coordinate transformation and we can easily find a physical interpretation of the fitting parameters.
Keywords :
computational geometry; curve fitting; iterative methods; least mean squares methods; optimisation; parameter estimation; surface fitting; algebraic distance; deformable superquadric model fitting; geometric distance; geometric fitting algorithm; iterative methods; least-squares algorithm fitting; optimum parameter estimation; Application software; Computer graphics; Computer vision; Costs; Deformable models; Equations; Image processing; Parameter estimation; Pattern recognition; Solid modeling;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1441560