Computer Vision, 1st ed. 2017 Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part III Communications in Computer and Information Science Series, Vol. 773
Coordonnateurs : Yang Jinfeng, Hu Qinghua, Cheng Ming-Ming, Wang Liang, Liu Qingshan, Bai Xiang, Meng Deyu
This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017.
The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.
Biological vision inspired visual method.- Biomedical image analysis.- Computer vision applications.- Deep neural network.- Face and posture analysis.- Image and video retrieval.- Image color and texture.- Image composition.- Image quality assessment and analysis.- Image restoration.- Image segmentation and classification.- Image-based modeling.- Object detection and classification.- Object identification.- Photography and video.- Robot vision.- Shape representation and matching.- Statistical methods and learning.-Video analysis and event recognition.-Visual salient detection.
Date de parution : 12-2017
Ouvrage de 729 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 105,49 €
Ajouter au panierThèmes de Computer Vision :
Mots-clés :
computer vison; pattern recognition; object detection; video analysis; deep neural network; image restoration; image reconstruction; image segmentation and classification; object reconition; robot vision; event detection; saliency detection; image colour and texture; modelling on images; shape representation and matching; bio-inspired computer vision models; computational photography; face and pose estimation; statistical learning methods; image quality evaluation and analysis