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