A chromaticity space for specularity, illumination color- and illumination pose-invariant 3-D object recognition

被引:17
作者
Berwick, D [1 ]
Lee, SW [1 ]
机构
[1] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
来源
SIXTH INTERNATIONAL CONFERENCE ON COMPUTER VISION | 1998年
关键词
D O I
10.1109/ICCV.1998.710714
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Most of the recent color recognition/indexing approaches concentrate on establishing invariance to illumination color to improve the utility of color recognition. However, other effects caused by illumination pose and specularity on three-dimensional object surfaces have not received notable attention. We present a chromaticity recognition, method that discounts the effects of illumination pose, illumination color and specularity. It utilizes a chromaticity space based on log-ratio of sensor responses for illumination pose and color invariance. A model-based specularity detection/rejection algorithm can be used to improve the chromaticity recognition and illumination estimation for objects including specular reflections.
引用
收藏
页码:165 / 170
页数:6
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