Computer Vision - ECCV 2016: Lecture Notes in Computer Science, cartea 9906
Editat de Bastian Leibe, Jiri Matas, Nicu Sebe, Max Wellingen Limba Engleză Paperback – 17 sep 2016
The 415 revised papers presented were carefully reviewed and selected from 1480 submissions. The papers cover all aspects of computer vision and pattern recognition such as 3D computer vision; computational photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based vision, photometry and shape-from-X; recognition: detection, categorization, indexing, matching; segmentation, grouping and shape representation; statistical methods and learning; video: events, activities and surveillance; applications. They are organized in topical sections on detection, recognition and retrieval; scene understanding; optimization; image and video processing; learning; action activity and tracking; 3D; and 9 poster sessions.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (8) | 652.57 lei 6-8 săpt. | |
| Springer – 17 sep 2016 | 652.57 lei 6-8 săpt. | |
| Springer – 16 sep 2016 | 654.59 lei 6-8 săpt. | |
| Springer – 17 sep 2016 | 654.80 lei 6-8 săpt. | |
| Springer – 17 sep 2016 | 655.23 lei 6-8 săpt. | |
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| Springer – 17 sep 2016 | 655.63 lei 6-8 săpt. | |
| Springer – 17 sep 2016 | 655.63 lei 6-8 săpt. | |
| Springer – 16 sep 2016 | 655.81 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319464749
ISBN-10: 3319464744
Pagini: 920
Ilustrații: XXIX, 887 p. 342 illus.
Dimensiuni: 155 x 235 x 49 mm
Greutate: 1.36 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319464744
Pagini: 920
Ilustrații: XXIX, 887 p. 342 illus.
Dimensiuni: 155 x 235 x 49 mm
Greutate: 1.36 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Detection, recognition and retrieval.- Scene understanding.- Optimization.- Image and video processing.- Learning.- Action activity and tracking.- 3D.- Poster sessions.
Caracteristici
Includes supplementary material: sn.pub/extras