DocumentCode :
3116217
Title :
An adaptive sampling method for layered depth image
Author :
Namboori, Ravinder ; Teh, Hung Chuan ; Huang, Zhiyong
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore
fYear :
2004
fDate :
19-19 June 2004
Firstpage :
206
Lastpage :
213
Abstract :
Sampling issue is an important problem in image based rendering. In this paper, we propose an adaptive sampling method to improve the layered depth image framework. Different from the existing methods of interpolating or splatting neighboring pixels, our method selects a set of sampling views based on the scene analysis that can guarantee the final rendering quality. Furthermore, the rendering speed is accelerated by the precomputed patch lookup table, which simplifies the reference view selection process to a simple lookup of a hash table. We have implemented our method. The experiment study shows the advantage of the method
Keywords :
image sampling; rendering (computer graphics); adaptive sampling; data sampling; hash table; image based rendering; image warping; layered depth image; Cameras; Computer science; Image analysis; Image generation; Image sampling; Layout; Pixel; Rendering (computer graphics); Sampling methods; Table lookup;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics International, 2004. Proceedings
Conference_Location :
Crete
ISSN :
1530-1052
Print_ISBN :
0-7695-2171-1
Type :
conf
DOI :
10.1109/CGI.2004.1309212
Filename :
1309212
Link To Document :
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