DocumentCode
3264217
Title
Distortion estimation for two-step view synthesis
Author
Dong Zhang ; Jie Liang ; Xiangyang Gong
Author_Institution
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
fYear
2013
fDate
8-11 Dec. 2013
Firstpage
93
Lastpage
96
Abstract
In depth-image-based-rendering (DIBR), the quality of the synthesized virtual view depends on that of the depth maps in the reference views. In this paper, we develop a framework to estimate the distortion of the synthesized view when a simplified two-step warping algorithm is used and when there are random errors in the reference depth maps. A graph-based method is developed to obtain the depth and texture distributions in the synthesized view. Experimental results demonstrate the accuracy of the estimated distortion.
Keywords
graph theory; image processing; image texture; rendering (computer graphics); DIBR; depth distributions; depth image based rendering; distortion estimation; graph based method; texture distributions; two step warping algorithm; two-step view synthesis; Accuracy; Cameras; Estimation; Indexes; Noise; Probabilistic logic; Three-dimensional displays; Distortion estimation; View synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Picture Coding Symposium (PCS), 2013
Conference_Location
San Jose, CA
Print_ISBN
978-1-4799-0292-7
Type
conf
DOI
10.1109/PCS.2013.6737691
Filename
6737691
Link To Document