机译:基于稀疏表示和迭代校正的鲁棒场景匹配方法
Beijing Inst Technol, Key Lab Intelligent Control & Decis Complex Syst, Sch Automat, Beijing 100081, Peoples R China;
Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China;
Beijing Inst Technol, Key Lab Intelligent Control & Decis Complex Syst, Sch Automat, Beijing 100081, Peoples R China|Minist Ind & Informat Technol, Key Lab Autonomous Nav & Control Deep Space Explo, Beijing, Peoples R China;
Beijing Inst Technol, Key Lab Intelligent Control & Decis Complex Syst, Sch Automat, Beijing 100081, Peoples R China;
Beijing Inst Technol, Key Lab Intelligent Control & Decis Complex Syst, Sch Automat, Beijing 100081, Peoples R China;
Beijing Inst Technol, Key Lab Intelligent Control & Decis Complex Syst, Sch Automat, Beijing 100081, Peoples R China;
Scene matching; Sparse representation; Iterative correction;
机译:基于半二次的迭代最小化,用于鲁棒的稀疏表示
机译:基于稀疏表示的鲁棒人脸识别快速迭代追踪算法
机译:基于稀疏表示的鲁棒人脸识别快速迭代追踪算法
机译:基于稀疏表示的鲁棒场景匹配方法
机译:求解稀疏块线性系统的基于直线和直线的迭代方法
机译:基于深度学习和迭代优化的图像对齐的低纹理场景鲁棒圆柱形全景拼接
机译:一种基于稀疏表示的鲁棒室内场景识别方法