DocumentCode
1934361
Title
3D Measurement of Specular Reflection Surface by Learning SFS Algorithm-Based RBF Model
Author
Xu, Xue-Bin ; Zhang, Xin-Man ; Zhang, De-Yun
Author_Institution
Xi´´an Jiaotong Univ., Xian
Volume
5
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
2911
Lastpage
2914
Abstract
Directing to specular reflection surface a SFS algorithm-based RBF specular model is surveyed and studied to reconstruct a profile. In this paper detailed algorithm and discrete equations are discussed and practical application results on synthetic images demonstrate the algorithm performance, ever when the lighting conditions or camera parameters are uncertain.
Keywords
computer vision; learning (artificial intelligence); radial basis function networks; 3D measurement; discrete equations; learning SFS algorithm-based RBF model; radial basis function; specular reflection surface; synthetic images; Cybernetics; Light sources; Machine learning; Optical reflection; Reflectivity; Sea measurements; Sea surface; Shape; Stereo vision; Surface reconstruction; Depth Extraction; RBF model; SFS; Specular reflection;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370645
Filename
4370645
Link To Document