Computer Vision – ACCV 2016, 1st ed. 2017 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part V Image Processing, Computer Vision, Pattern Recognition, and Graphics Series
Coordonnateurs : Lai Shang-Hong, Lepetit Vincent, Nishino Ko, Sato Yoichi
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.
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.
Date de parution : 03-2017
Ouvrage de 434 p.
15.5x23.5 cm
Thème de Computer Vision – ACCV 2016 :
Mots-clés :
3D vision; clustering; computer vision; image processing; neural networks; action recognition; computational photography; deep learning; dictionary learning; estimation method; face recognition; image alignment; image classification; image segmentation; image segmentation; image/video captioning; object recognition; pattern classification; reconstruction; semantic segmentation; video understanding