Image-Based Rendering (Foundations and Trends(r) in Computer Graphics and Vision)

Kang, Sing Bing; Li, Yin; Tong, Xin; Shum, Heung-Yeung

ISBN 10: 1601980183 / ISBN 13: 9781601980182

Verlag: Now Publishers, 2007

Beschreibung

Bestandsnummer des Verkäufers ABLIING23Mar2811580105979

Bibliografische Details

• Titel: Image-Based Rendering (Foundations and Trends(r) in Computer Graphics and Vision)
• Verlag: Now Publishers
• Erscheinungsjahr: 2007
• Sprache: Englisch
• ISBN-10: 1601980183
• ISBN-13: 9781601980182
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Reseña del editor

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.It 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.