Image-Based Rendering

Chan Shing-Chow Shum Heung-Yeung Kang Sing Bing

ISBN 10: 0387211136 / ISBN 13: 9780387211138

Published by Springer, 2006

About this Item

pp. 442.

Seller Inventory # 18284451

Bibliographic Details

• Title: Image-Based Rendering
• Publisher: Springer
• Publication Date: 2006
• Language: English
• ISBN 10: 0387211136
• ISBN 13: 9780387211138
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.

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.