The following publications are possibly variants of this publication:
- Structural Orthogonal Procrustes Regression for Face Recognition with Pose Variations and MisalignmentYing Tai, Jian Yang, Fanlong Zhang, Yigong Zhang, Lei Luo, Jianjun Qian. sdm 2016: 693-701 [doi]
- Orthogonal Procrustes Problem Based Regression with Application to Face Recognition with Pose VariationsYing Tai, Jian Yang, Lei Luo, Jianjun Qian. iscide 2015: 11-19 [doi]
- Cross-resolution face recognition with pose variations via multilayer locality-constrained structural orthogonal procrustes regressionGuangwei Gao, Yi Yu 0001, Meng Yang, Heyou Chang, Pu Huang, Dong Yue. isci, 506:19-36, 2020. [doi]
- Locality-Constrained Structral Orthogonal Procrustes Regression for Low-Resolution Face Recognition with Pose VariationsGuangwei Gao, Pu Huang, Dong Yue, Wankou Yang. acpr 2017: 554-558 [doi]
- Kernel orthogonal Procrustes regression for face recognition across poseYing Tai, Jian Yang, Lei Luo, Jianjun Qian. ijon, 239:122-129, 2017. [doi]
- Face image super-resolution with pose via nuclear norm regularized structural orthogonal Procrustes regressionGuangwei Gao, Dong Zhu, Meng Yang, Huimin Lu, Wankou Yang, Hao Gao. nca, 32(9):4361-4371, 2020. [doi]
- 稀疏正交普鲁克回归处理跨姿态人脸识别问题 (Sparse Orthogonal Procrustes Problem Based Regression for Face Recognition with Pose Variations)Juan Zhang. jsjkx, 44(2):302-305, 2018. [doi]