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29 December 2000 Fusion-based adaptive regularized smoothing for 3D reconstruction from image sequences
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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.
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Junghoon Jung, TaeYong Kim, Younhui Jang, Jeong-Ho Shin, and Joon-Ki Paik "Fusion-based adaptive regularized smoothing for 3D reconstruction from image sequences", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); doi: 10.1117/12.411801; https://doi.org/10.1117/12.411801
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