caa a22 4500 605540438 CHVBK 20210128100911.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s00371-014-1049-8 doi (NATIONALLICENCE)springer-10.1007/s00371-014-1049-8 Learning to pool high-level features for face representation [Elektronische Daten] [Renjie Huang, Mao Ye, Pei Xu, Tao Li, Yumin Dou] The available face descriptors are always generated by a hand-designed pooling scheme or without a pooling process. We propose to learn a pooling scheme for high-level features. First, we obtain the local features on the densely sampled points on a face image. Then, a weighted-sum pooling is used to obtain the high-level feature of a block of this face image. By learning the pooling weights, the structure information of local features is integrated into the high-level feature of the block. At the same time, a linear transformation is learned to reduce the dimension of this high-level feature. Our main contribution is the method of learning the pooling scheme, which can capture the structure information between the local features in a block. This structure information includes the facial structures and contours. The experiments on multiple face datasets confirm the efficiency and effectiveness of our method. Springer-Verlag Berlin Heidelberg, 2014 Learning pooling scheme nationallicence High-level facial features nationallicence Sparse coding nationallicence Face recognition nationallicence Huang Renjie School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, 611731, Chengdu, People's Republic of China aut Ye Mao School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, 611731, Chengdu, People's Republic of China aut Xu Pei School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, 611731, Chengdu, People's Republic of China aut Li Tao School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, 611731, Chengdu, People's Republic of China aut Dou Yumin School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, 611731, Chengdu, People's Republic of China aut The Visual Computer Springer Berlin Heidelberg 31/12(2015-12-01), 1683-1695 0178-2789 31:12<1683 2015 31 371 https://doi.org/10.1007/s00371-014-1049-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-1049-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Huang Renjie School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, 611731, Chengdu, People's Republic of China aut NATIONALLICENCE 700 1- Ye Mao School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, 611731, Chengdu, People's Republic of China aut NATIONALLICENCE 700 1- Xu Pei School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, 611731, Chengdu, People's Republic of China aut NATIONALLICENCE 700 1- Li Tao School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, 611731, Chengdu, People's Republic of China aut NATIONALLICENCE 700 1- Dou Yumin School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, 611731, Chengdu, People's Republic of China aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/12(2015-12-01), 1683-1695 0178-2789 31:12<1683 2015 31 371