Computer Vision (Paperback)

Jinfeng Yang

ISBN 10: 9811072981 / ISBN 13: 9789811072987

Published by Springer Verlag, Singapore, Singapore, 2017

About this Item

Paperback. 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. 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. biomedical image analysis; image and video retrieval; image color and texture; image quality assessment and analysis; image segmentation and classification; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9789811072987

Bibliographic Details

• Title: Computer Vision (Paperback)
• Publisher: Springer Verlag, Singapore, Singapore
• Publication Date: 2017
• Language: English
• ISBN 10: 9811072981
• ISBN 13: 9789811072987
• Binding: Paperback
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

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.