Multi-view 3D analysis with applications for augmented reality andenhanced video visualization
Guo, Y.
Hsu, S.
Samarasekera, S.
Sawhney, H.
Kumar, R.
Sarnoff Corp., Princeton, NJ;
This paper appears in: Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Publication Date: 2000
Volume: 2,
On page(s): 780-781 vol.2
Meeting Date: 06/13/2000 - 06/15/2000
Location: Hilton Head Island, SC, USA
ISBN: 0-7695-0662-3
References Cited: 2
INSPEC Accession Number: 6651848
Digital Object Identifier: 10.1109/CVPR.2000.854955
Current Version Published: 2002-08-06
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
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