Computer Vision - ACCV 2014 Workshops

Computer Vision - ACCV 2014 Workshops
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Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part II
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Artikel-Nr:
9783319166308
Veröffentl:
2015
Einband:
Paperback
Erscheinungsdatum:
21.04.2015
Seiten:
736
Autor:
Shiguang Shan
Gewicht:
1095 g
Format:
235x155x40 mm
Serie:
9009, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Sprache:
Englisch
Beschreibung:

The three-volume set, consisting of LNCS 9008, 9009, and 9010, contains carefully reviewed and selected papers presented at 15 workshops held in conjunction with the 12th Asian Conference on Computer Vision, ACCV 2014, in Singapore, in November 2014. The 153 full papers presented were selected from numerous submissions. LNCS 9008 contains the papers selected for the Workshop on Human Gait and Action Analysis in the Wild, the Second International Workshop on Big Data in 3D Computer Vision, the Workshop on Deep Learning on Visual Data, the Workshop on Scene Understanding for Autonomous Systems, and the Workshop on Robust Local Descriptors for Computer Vision. LNCS 9009 contains the papers selected for the Workshop on Emerging Topics on Image Restoration and Enhancement, the First International Workshop on Robust Reading, the Second Workshop on User-Centred Computer Vision, the International Workshop on Video Segmentation in Computer Vision, the Workshop: My Car Has Eyes: Intelligent Vehicle with Vision Technology, the Third Workshop on E-Heritage, and the Workshop on Computer Vision for Affective Computing. LNCS 9010 contains the papers selected for the Workshop on Feature and Similarity for Computer Vision, the Third International Workshop on Intelligent Mobile and Egocentric Vision, and the Workshop on Human Identification for Surveillance.
Includes supplementary material: sn.pub/extras
Emerging Topics on Image Restoration and Enhancement.- User-Centred Computer Vision.- Video Segmentation in Computer Vision.- My Car Has Eyes: Intelligent Vehicle with Vision Technology.- E-Heritage.- Computer Vision for Affective Computing.

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