Error Analysis of Three-dimensional Reconstruction for Irregular Objects

被引:0
作者
Zheng, Li [1 ,2 ]
Feng, Yanjie [3 ]
Luo, Yuejun [4 ]
机构
[1] Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Peoples R China
[2] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
[3] Wuhan Geotech Engn & Surveying Inst, Wuhan 430022, Peoples R China
[4] Kotei & Navi Data Corp, Wuhan 430073, Peoples R China
来源
MIPPR 2011: PATTERN RECOGNITION AND COMPUTER VISION | 2011年 / 8004卷
基金
中国国家自然科学基金;
关键词
edge detection; irregular objects; object material; light; error analysis;
D O I
10.1117/12.903945
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The visual detection based on structured light is put forward to solve the problem of image matching for stereo vision in recent years. It is paid much attention in the industrial environment, especially in the three-dimensional automatic detection and object recognition. In this paper, it is discussed about the accuracy of visual inspection techniques based on structured light. There are some factors of affecting measurement techniques based on structured light, which are object material, edge detection algorithms, uneven lighting, and so on. The experimental results reveal that these three factors have a great impact on the accuracy of the model measurement of irregular objects.
引用
收藏
页数:5
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