Foundations and TrendsŪ in Computer Graphics and Vision
IMAGE-BASED RENDERING
by Sing Bing Kang (Microsoft Research, USA), Yin Li (Microsoft Corporation, USA), Xin Tong (Microsoft Research Asia) & Heung-Yeung Shum (Microsoft Research Asia)
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.
Published by Now Publishers and marketed by World Scientific
Contents:
- Introduction
- Representations and Rendering
- Static Scene
Representations
- Rendering with No Geometry
- Rendering with Implicit Geometry
- Point-Based Rendering
- Representations with Explicit Geometry
- Monolithic Rendering
- Handling Layered Reflection Effects
- Software and Hardware Issues
- Which Representation to Choose
- Challenges Acknowledgement
- References
Readership: Postgraduates, researchers and professionals.
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