Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part III: Communications in Computer and Information Science, cartea 773
Editat de Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Mengen Limba Engleză Paperback – 9 dec 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.
| Toate formatele și edițiile | Preț | Express |
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| Paperback (3) | 336.41 lei 6-8 săpt. | |
| Springer Nature Singapore – 30 noi 2017 | 336.41 lei 6-8 săpt. | |
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| Springer Nature Singapore – 30 noi 2017 | 644.13 lei 6-8 săpt. |
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Specificații
ISBN-13: 9789811073045
ISBN-10: 981107304X
Pagini: 715
Ilustrații: XXIII, 729 p. 345 illus.
Dimensiuni: 155 x 235 x 46 mm
Greutate: 1.04 kg
Ediția:1st ed. 2017
Editura: Springer Nature Singapore
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Singapore, Singapore
ISBN-10: 981107304X
Pagini: 715
Ilustrații: XXIII, 729 p. 345 illus.
Dimensiuni: 155 x 235 x 46 mm
Greutate: 1.04 kg
Ediția:1st ed. 2017
Editura: Springer Nature Singapore
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Singapore, Singapore
Cuprins
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.
Caracteristici
Includes supplementary material: sn.pub/extras