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Image-Based Modeling
Long Quan
€ 127.57
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Description for Image-Based Modeling
Paperback. The computer vision and graphics communities use different terms for the same ideas. This book provides a translation, enabling graphics researchers to apply vision concepts and vice-versa. Independence of chapters allows quick access to specific content. Num Pages: 269 pages, biography. BIC Classification: TTBM; UML; UYQP; UYQV; UYT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 14. Weight in Grams: 421.
“This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures. Written in a simple, straightforward, and concise manner, readers will learn the state of the art of 3D reconstruction and modeling.” —Professor Takeo Kanade, Carnegie Mellon University The computer vision and graphics communities use different terminologies for the same ideas. This book provides a translation, enabling graphics researchers to apply vision concepts, and vice-versa, independence of chapters allows readers to directly jump into a specific chapter of interest, compared to other texts, gives more succinct treatment ... Read more
“This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures. Written in a simple, straightforward, and concise manner, readers will learn the state of the art of 3D reconstruction and modeling.” —Professor Takeo Kanade, Carnegie Mellon University The computer vision and graphics communities use different terminologies for the same ideas. This book provides a translation, enabling graphics researchers to apply vision concepts, and vice-versa, independence of chapters allows readers to directly jump into a specific chapter of interest, compared to other texts, gives more succinct treatment ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer-Verlag New York Inc. United States
Number of pages
269
Condition
New
Number of Pages
251
Place of Publication
New York, United States
ISBN
9781489986597
SKU
V9781489986597
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Long Quan
Long Quan is a Professor of the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. He received a Ph.D. degree in Computer Science from France, and has been a CNRS researcher at INRIA. Professor Quan is a Fellow of the IEEE Computer Society.
Reviews for Image-Based Modeling