自动化学报2013，Vol.39Issue(8)：1339-1348,10.DOI:10.3724/SP.J.1004.2013.01339
一种鲁棒的基于光度立体视觉的表面重建方法
A Robust Approach Based on Photometric Stereo for Surface Reconstruction
摘要
Abstract
We present a new framework for surface reconstruction with technique of photometric stereo,which is based on advanced convex optimization technique.We firstly remove the errors in images by robust principle component analysis (RPCA),and then obtain low-rank matrix and surface normal field.Unlike previous approaches,this method uses all the available information to simultaneously fix missing and erroneous entries.The new technique is more computationally efficient and provides theoretical assurance for robustness to large errors.Experimental results demonstrate that this framework can improve the precision for surface reconstruction with noise.关键词
光度立体视觉/鲁棒主成分分析/表面重建/稀疏噪声/低秩矩阵Key words
Photometric stereo/robust principle component analysis (RPCA)/surface reconstruction/sparse error/low-rank matrix引用本文复制引用
吴仑,王涌天,刘越..一种鲁棒的基于光度立体视觉的表面重建方法[J].自动化学报,2013,39(8):1339-1348,10.基金项目
国家重点基础研究发展计划(973计划)(2010CB732505),国家自然科学基金(61072096)资助 （973计划）
Supported by National Basic Research Program of China (973program) (2010CB732505) and National Natural Science Foundation of China (61072096) （973program）
