Proceedings Paper
Fusion-based adaptive regularized smoothing for 3D reconstruction from image sequences| Format | Member Price | Non-Member Price |
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Paper Abstract
This paper presents a regularized smoothing algorithm for 3D reconstruction from image sequence. Depth data estimated from a stereo pair or multiple image frames can easily be corrupted by various types of noise such as quantization and imperfect matching. We propose a regularized image restoration algorithm which enhances the surface of depth maps based on spatially adaptive image fusion. We can also enhance the resolution of the surfaces and preserve discontinuities.
Paper Details
Date Published: 29 December 2000
PDF: 7 pages
Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); doi: 10.1117/12.411801
Published in SPIE Proceedings Vol. 4310:
Visual Communications and Image Processing 2001
Bernd Girod; Charles A. Bouman; Eckehard G. Steinbach, Editor(s)
PDF: 7 pages
Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); doi: 10.1117/12.411801
Show Author Affiliations
Junghoon Jung, Chung-Ang Univ. (South Korea)
TaeYong Kim, Chung-Ang Univ. (South Korea)
Younhui Jang, Chung-Ang Univ. (South Korea)
TaeYong Kim, Chung-Ang Univ. (South Korea)
Younhui Jang, Chung-Ang Univ. (South Korea)
Published in SPIE Proceedings Vol. 4310:
Visual Communications and Image Processing 2001
Bernd Girod; Charles A. Bouman; Eckehard G. Steinbach, Editor(s)
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