Image Analysis and Processing – ICIAP 2019: 20th International Conference, Trento, Italy, September 9–13, 2019, Proceedings, Part I: Lecture Notes in Computer Science, cartea 11751
Editat de Elisa Ricci, Samuel Rota Bulò, Cees Snoek, Oswald Lanz, Stefano Messelodi, Nicu Sebeen Limba Engleză Paperback – 5 sep 2019
The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 343.53 lei 43-57 zile | |
| Springer International Publishing – 5 sep 2019 | 343.53 lei 43-57 zile | |
| Springer International Publishing – 5 sep 2019 | 498.40 lei 22-36 zile | +37.40 lei 5-11 zile |
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Specificații
ISBN-13: 9783030306410
ISBN-10: 3030306410
Pagini: 561
Ilustrații: XXVII, 561 p. 215 illus., 162 illus. in color.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.82 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
ISBN-10: 3030306410
Pagini: 561
Ilustrații: XXVII, 561 p. 215 illus., 162 illus. in color.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.82 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
Cuprins
Video Analysis and Understanding.- Pattern Recognition and Machine Learning.- Deep Learning.- Multiview Geometry and 3D Computer Vision.- Image Analysis, Detection and Recognition.- Multimedia.- Biomedical and Assistive Technology.- Digital Forensics.- Image processing for Cultural Heritage.