A fuzzy algorithm for curve and surface alignment

被引：17

作者：

Marques, JS ^{[1
]}

机构：

[1] Univ Tecn Lisboa, Dept Elect & Comp Engn, Inst Super Tecn, P-1000 Lisbon, Portugal

来源：

PATTERN RECOGNITION LETTERS | 1998年 / 19卷 / 09期

关键词：

shape alignment; fuzzy systems; pose estimation;

D O I：

10.1016/S0167-8655(98)00063-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe a fuzzy algorithm for the alignment of curves and surfaces which avoids the matching operation. To align a pair of shapes, each feature point selected in the first shape is associated to all the points in the second. A confidence degree is computed for each of these matches. The unknown parameters (pose variables and confidence degrees) are obtained by the minimization of a fuzzy energy, similar to the one proposed by Dunn and Bezdek in the context of fuzzy clustering. Closed form expressions are derived for the estimates of the unknown parameters. The performance of the proposed algorithm is illustrated by experimental results. (C) 1998 Elsevier Science B.V. All rights reserved.

引用

页码：797 / 803

页数：7

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