Image-Based Rendering (Foundations and Trends (R) in Computer Graphics and Vision)

Sing Bing Kang,Shing-Chow Chan,Heung-Yeung Shum

ISBN 10: 1601980183 / ISBN 13: 9781601980182

Published by now publishers Inc, 2007

About this Item

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Bibliographic Details

• Title: Image-Based Rendering (Foundations and Trends (R) in Computer Graphics and Vision)
• Publisher: now publishers Inc
• Publication Date: 2007
• Language: English
• ISBN 10: 1601980183
• ISBN 13: 9781601980182
• Binding: Paperback
• Condition: Fine

About this title

Synopsis

Image-based rendering (IBR) is unique in that it requires computer graphics, computer vision, and image processing to join forces to solve a common goal, namely photorealistic rendering through the use of images. IBR as an area of research has been around for about ten years, and substantial progress has been achieved in effectively capturing, representing, and rendering scenes. Image-Based Rendering surveys the various techniques used in the area. It shows that representations and rendering techniques can differ radically, depending on design decisions related to ease of capture, use of geometry, accuracy of geometry (if used), number and distribution of source images, degrees of freedom for virtual navigation, and expected scene complexity. Image-Based Rendering is an invaluable resource for anyone planning or conducting research in this particular area, or computer graphics or vision generally. The essentials of the topic are presented in an accessible manner and an extensive bibliography guides towards further reading.

From the Back Cover

Image-based rendering (IBR) refers to a collection of techniques and representations that allows 3D scenes and objects to be visualized in a realistic way without full 3D model reconstruction. The potential for photorealistic visualization has tremendous appeal, especially for applications such as video games, virtual travel, and E-commerce, which stand to greatly benefit from this technology.

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 text is divided into three parts: Representations and Rendering Techniques, Sampling, and Compression. The topics covered vary from IBR basic concepts and representations on the theory side to signal processing and data compression on the practical side and examines several IBR systems built to-date.

This title is exceptional in its extensive focus on image-based rendering and 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 expand their knowledge of IBR. Providing the reader with both historical background and the technical concepts and advances in the field, Image-Based Rendering is an invaluable reference tool and guide to new discoveries and applications.