Inverse validation for accurate range image registration with structured data

被引：0
|
作者：
Liu, YH [1 ]
Labrosse, F [1 ]
机构：
[1] Univ Wales, Dept Comp Sci, Aberystwyth SY23 3DB, Dyfed, Wales
来源：
16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL III, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Automatic range image registration is a fundamental yet extremely difficult problem in machine vision. In this paper, we extend a promising registration algorithm (GICP) [6] for structured image data. The extended algorithm is based on a relaxation method combining the motion estimation results from the possible correspondences established by the GICP algorithm and those that are further evaluated by an inverse validation procedure. A comparative study based on real images has shown that the extended algorithm is more accurate and robust than the original algorithm.
引用
收藏
页码：537 / 540
页数：4
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