Image-Based Rendering

• Main Authors: Shum, Heung-Yeung (Author), Chan, Shing-Chow (Author), Kang, Sing Bing (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2007.
• Subjects: Computer science.; Multimedia information systems.; Computer graphics.; Image processing.; Computer Science.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Computer Graphics.; Image Processing and Computer Vision.; Signal, Image and Speech Processing.; Multimedia Information Systems.

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 v...

Table of Contents:

• Representations and Rendering Techniques
• Static Scene Representations
• Rendering Dynamic Scenes
• Rendering Techniques
• Sampling
• Plenoptic Sampling
• Geometric Analysis of Light Field Rendering
• Optical Analysis of Light Field Rendering
• Optimizing Rendering Performance using Sampling Analysis
• Compression
• to Compression
• Image Compression Techniques
• Video Compression Techniques
• Compression of Static Image-based Representations
• Compression of Dynamic Image-based Representations
• Systems and Applications
• Rendering by Manifold Hopping
• Large Environment Rendering using Plenoptic Primitives
• Pop-Up Light Field: An Interactive Image-Based Modeling and Rendering System
• Feature-Based Light Field Morphing.