A chromaticity space for specularity, illumination color- and illumination pose-invariant 3-D object recognition
被引:17
作者:
Berwick, D
论文数: 0引用数: 0
h-index: 0
机构:
Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USAUniv Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
Berwick, D
[1
]
Lee, SW
论文数: 0引用数: 0
h-index: 0
机构:
Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USAUniv Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
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.