DocumentCode :
1741475
Title :
Scene reconstruction from multiple cameras
Author :
Szeliski, Richard
Author_Institution :
Vision Technol. Group, Microsoft Corp., Redmond, WA, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
13
Abstract :
This paper reviews a number of previously developed stereo matching algorithms and representations. It focuses on techniques that are especially well suited for stereoscopic and 3-D imaging applications such as novel view generation and the mixing of live imagery with synthetic computer graphics. The paper reviews some approaches to the classic problem of recovering a depth map from two or more images. It then describes a number of newer representations (and their associated reconstruction algorithms), including volumetric representations, layered plane-plus-parallax representations, and multiple depth maps
Keywords :
computer graphics; image matching; image reconstruction; image representation; stereo image processing; video cameras; video signal processing; 3D broadcast stream; 3D imaging applications; depth map recovery; image reconstruction algorithms; layered plane-plus-parallax representations; live imagery generation; multiple cameras; multiple depth maps; scene reconstruction; stereo image representations; stereo matching algorithms; stereoscopic imaging applications; synthetic computer graphics; video images; volumetric representations; Application software; Bayesian methods; Cameras; Color; Computer vision; Image reconstruction; Layout; Pixel; Reconstruction algorithms; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1522-4880
Print_ISBN :
0-7803-6297-7
Type :
conf
DOI :
10.1109/ICIP.2000.900880
Filename :
900880
Link To Document :
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