DocumentCode :
2207412
Title :
Multi-view 3D analysis with applications for augmented reality and enhanced video visualization
Author :
Guo, Yanlin ; Hsu, Steve ; Samarasekera, Supun ; Sawhney, Harpreet ; Kumar, Rakesh
Author_Institution :
Sarnoff Corp., Princeton, NJ, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
780
Abstract :
The article presents methods for 3D scene geometry recovery/refinement and pose estimation from motion imagery in two representative scenarios. First, we present a method for pose estimation and scene geometry recovery from extended sequences without prior knowledge of the scheme. Second, we discuss how to recover camera poses when a rough scene model is provided. We show how to extend and refine the scene model using the recovered poses. Finally, we present applications of the above techniques for 3D imagery manipulation such as enhanced visualization for video and 3D insertion of synthetic objects in the imagery
Keywords :
augmented reality; data visualisation; image motion analysis; image sequences; stereo image processing; video signal processing; 3D imagery manipulation; 3D scene geometry recovery; 3D scene geometry refinement; 3D synthetic object insertion; augmented reality; camera pose recovery; enhanced video visualization; extended sequences; motion imagery; multi-view 3D analysis; pose estimation; rough scene model; Augmented reality; Cameras; Geometry; Layout; Maximum likelihood estimation; Motion estimation; Parameter estimation; Solid modeling; State estimation; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
ISSN :
1063-6919
Print_ISBN :
0-7695-0662-3
Type :
conf
DOI :
10.1109/CVPR.2000.854955
Filename :
854955
Link To Document :
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