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
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;
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
DOI :
10.1109/ICMLC.2007.4370645
