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Image-Based Rendering
by Sing Bing Kang and Yin Li and Xin Tong

Overview - 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.  Read more...

 
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More About Image-Based Rendering by Sing Bing Kang; Yin Li; Xin Tong
 
 
 
Overview
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.

 
Details
  • ISBN-13: 9781601980182
  • ISBN-10: 1601980183
  • Publisher: Now Publishers
  • Publish Date: March 2007
  • Page Count: 96

Series: Foundations and Trends(r) in Computer Graphics and Vision #1

Related Categories

Books > Computers & Internet > Computer Vision & Pattern Recognition
Books > Computers & Internet > Computer Graphics

 
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