ON ERROR ANALYSIS FOR SURFACE NORMALS DETERMINED BY PHOTOMETRIC STEREO

被引:11
作者
JIANG, XY
BUNKE, H
机构
[1] Institut für angewandte Mathematik and Informatik, University of Bern, CH-3012 Bern
关键词
PATTERN RECOGNITION; IMAGE PROCESSING; SHAPE FROM SHADING; PHOTOMETRIC STEREO; LAMBERTIAN REFLECTANCE; NEEDLE MAP; SENSITIVITY ANALYSIS;
D O I
10.1016/0165-1684(91)90001-Y
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The local surface orientation of a three-dimensional object in a scene can be determined by photometric stereo. Photometric methods are susceptible to a number of errors. Ray, Birk and Kelly have identified and analysed the various error sources. Especially, a sensitivity analysis of local surface normals computed by photometric stereo with respect to major error sources is given. Unfortunately, due to the gradient space representation of reflectance maps, the derivation process is tedious and the formulas are very complicated. This paper gives a new sensitivity analysis technique using reflectance maps represented by unit surface normal vectors and vector differentiation. This new technique leads to a much simpler derivation process and substantially compacter sensitivity formulas.
引用
收藏
页码:221 / 226
页数:6
相关论文
共 13 条
[1]  
Caponetti, Et al., A three-dimensional vision system for bin-picking, Proc., IEEE Conf. Comput. Vision Pattern Recognition, pp. 407-411, (1986)
[2]  
Carrioli, Et al., Recognition of polyhedra by photometric stereo, Recent Issures in Pattern Analysis and Recognition, pp. 238-248, (1989)
[3]  
Chiaradia, Et al., A photometric approach to determine surface objects orientations for vision systems, Advances in Image Processing and Pattern Recognition, pp. 277-283, (1986)
[4]  
Ikeuchi, Determining surface orientation of specular surfaces by using the photometric stereo method, IEEE Trans. Pattern Anal. Machine Intell., 3, 6, pp. 661-669, (1981)
[5]  
Ikeuchi, Horn, Numerical shape from shading and occluding boundries, Artificial Intelligence, 17, pp. 141-184, (1981)
[6]  
Ikeuchi, Shirai, A model based vision system for recognition of machine parts, Proc. National Conf. on Artificial Intelligence, pp. 18-21, (1982)
[7]  
Jiang, Bunke, Recognizing 3-D objects in needle maps, Proc. 10th Internat. Conf. Pattern Recognition, pp. 237-239, (1990)
[8]  
Horn, Understanding image intensity, Artificial Intelligence, 8, 11, pp. 201-231, (1977)
[9]  
Horn, Robot vision, (1986)
[10]  
Horn, Ikeuchi, The mechanical manipulation of randomly oriented parts, Scientific American, 251, 2, pp. 100-111, (1984)