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Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 1114, 2017, Proceedings, Part III 1st ed. 2017 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 729 pages, height x width: 235x155 mm, 345 Illustrations, black and white; XXIII, 729 p. 345 illus., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 773
  • Izdošanas datums: 09-Dec-2017
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 981107304X
  • ISBN-13: 9789811073045
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Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 1114, 2017, Proceedings, Part III 1st ed. 2017Palielināt
  • Formāts: Paperback / softback, 729 pages, height x width: 235x155 mm, 345 Illustrations, black and white; XXIII, 729 p. 345 illus., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 773
  • Izdošanas datums: 09-Dec-2017
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 981107304X
  • ISBN-13: 9789811073045
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789811073045.html

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.