Overview
- Unique in its extensive focus on image-based rendering (IBR)
- Less focus on geometrical modeling aspects of IBR
- Addresses the multidisciplinary nature of IBR and explores the theory behind it and its numerous applications
- Includes supplementary material: sn.pub/extras
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Table of contents (17 chapters)
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Front Matter
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Introduction
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Representations and Rendering Techniques
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Front Matter
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Systems and Applications
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Front Matter
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Keywords
About this book
Image-Based Rendering examines the theory, practice, and applications associated with image-based rendering and modeling. As leading researchers in the field, the authors combine their unique experiences in computer graphics, computer vision, and signal processing to address the multidisciplinary nature of IBR research. The topics covered vary from IBR basic concepts and representations on the theory side to signal processing and data compression on the practical side. Several IBR systems built to-date are examined. Rather than focusing on 3D modeling aspects, which have been extensively treated elsewhere in the vision literature, the book focuses primarily on IBR.
One of the only titles devoted exclusively to IBR, this book is intended for researchers, professionals, and general readers interested in the topics of computer graphics, computer vision, image process, and video processing. Advanced-level students in EECS studying related disciplines will be able to seriously expand their knowledge about image-based rendering.
Authors and Affiliations
Bibliographic Information
Book Title: Image-Based Rendering
Authors: Heung-Yeung Shum, Shing-Chow Chan, Sing Bing Kang
DOI: https://doi.org/10.1007/978-0-387-32668-9
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-21113-8Published: 28 September 2006
Softcover ISBN: 978-1-4419-3545-8Published: 12 December 2011
eBook ISBN: 978-0-387-32668-9Published: 26 May 2008
Edition Number: 1
Number of Pages: XX, 408
Number of Illustrations: 95 b/w illustrations
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Graphics, Image Processing and Computer Vision, Signal, Image and Speech Processing, Multimedia Information Systems