TY - BOOK AU - Lai,Shang-Hong AU - Lepetit,Vincent AU - Nishino,Ko AU - Sato,Yoichi ED - SpringerLink (Online service) TI - Computer Vision – ACCV 2016: 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part IV T2 - Image Processing, Computer Vision, Pattern Recognition, and Graphics SN - 9783319541907 AV - TA1630-1650 U1 - 006.6 23 PY - 2017/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Optical data processing KW - Computer graphics KW - Data mining KW - User interfaces (Computer systems) KW - Computer communication systems KW - Image Processing and Computer Vision KW - Computer Graphics KW - Data Mining and Knowledge Discovery KW - User Interfaces and Human Computer Interaction KW - Computer Communication Networks N1 - Segmentation and Classification -- Segmentation and Semantic Segmentation -- Dictionary Learning, Retrieval, and Clustering -- Deep Learning -- People Tracking and Action Recognition -- People and Actions -- Faces -- Computational Photography -- Face and Gestures -- Image Alignment -- Computational Photography and Image Processing -- Language and Video -- 3D Computer Vision -- Image Attributes, Language, and Recognition -- Video Understanding -- 3D Vision N2 - The five-volume set LNCS 10111-10115 constitutes the thoroughly refereed post-conference proceedings of the 13th Asian Conference on Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. The total of 143 contributions presented in these volumes was carefully reviewed and selected from 479 submissions. The papers are organized in topical sections on Segmentation and Classification; Segmentation and Semantic Segmentation; Dictionary Learning, Retrieval, and Clustering; Deep Learning; People Tracking and Action Recognition; People and Actions; Faces; Computational Photography; Face and Gestures; Image Alignment; Computational Photography and Image Processing; Language and Video; 3D Computer Vision; Image Attributes, Language, and Recognition; Video Understanding; and 3D Vision UR - https://doi.org/10.1007/978-3-319-54190-7 ER -