Computer Vision

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Details

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.


Includes supplementary material: sn.pub/extras

Inhalt
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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09789811072987
    • Herausgeber Springer Nature Singapore
    • Anzahl Seiten 796
    • Lesemotiv Verstehen
    • Genre Software
    • Auflage 1st edition 2017
    • Editor Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Deyu Meng, Qingshan Liu, Xiang Bai, Liang Wang
    • Sprache Englisch
    • Gewicht 1183g
    • Untertitel Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I
    • Größe H235mm x B155mm x T43mm
    • Jahr 2017
    • EAN 9789811072987
    • Format Kartonierter Einband
    • ISBN 9811072981
    • Veröffentlichung 30.11.2017
    • Titel Computer Vision

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