Image-Based Rendering  Heung-yeung Shum, Shing-Chow Chan, Sing Bing Kang
0-387-21113-6padSpringer 9780387211138 038721113604/2007
List Price: $79.95padHardcoverpad408 pages
Our Price: $71.96pad
Image-based rendering (IBR) refers to a collection of techniques and representations that allow 3D scenes and objects to be visualized in a realistic way without full 3D model reconstruction. IBR uses images as the primary substrate. The potential for photorealistic visualization has tremendous appeal, and it is thus not surprising that IBR has been receiving increasing attention over the years. Applications such as video games, virtual travel, and E-commerce stand to benefit from this technology.

Image-Based Rendering examines the theory, practice, and applications associated with image-based rendering and modeling. The authors bring together their backgrounds and research experiences in computer graphics, computer vision and signal processing to address the multi-disciplinary nature of IBR research. The topics to be covered vary from IBR basic concepts and representations on the theory side, to signal processing and data compression on the practical side. These theoretical and practical issues are further disseminated in several IBR systems built to-date. However, this book will not focus on the geometrical modeling aspect of IBR, since 3D modeling has been extensively treated elsewhere in the vision literature.

One of the only titles devoted exclusively to the area of IBR, this book is intended for researchers, professionals, and general readers interested in the topics of computer graphics, computer vision, image processing, and video processing. Advanced-level students in EECS studying related disciplines will be able to seriously expand their knowledge about image-based rendering.

Written for: Researchers and industry professionals working in the areas of computer graphics, computer vision, image processing, and video processing