TY - JOUR
T1 - Image-based rendering
AU - Kang, Sing Bing
AU - Li, Yin
AU - Tong, Xin
AU - Shum, Heung Yeung
PY - 2006
Y1 - 2006
N2 - 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. In this article, we survey the techniques used in IBR. Our survey 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.
AB - 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. In this article, we survey the techniques used in IBR. Our survey 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.
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000409001600001
UR - https://www.scopus.com/pages/publications/34248368066
U2 - 10.1561/0600000012
DO - 10.1561/0600000012
M3 - Journal Article
SN - 1572-2740
VL - 2
SP - 173
EP - 258
JO - Foundations and Trends in Computer Graphics and Vision
JF - Foundations and Trends in Computer Graphics and Vision
IS - 3
ER -