NDLI: Surface reconstruction by smoothness map estimation

Content Provider	IEEE Xplore Digital Library
Author	Miyajima, K. Mukawa, N.
Copyright Year	1998
Description	Author affiliation: NTT Data Corp., Kawasaki, Japan (Miyajima, K.)
Abstract	This paper presents a new method for reconstructing object surface from sparse data while preserving discontinuities. The proposed method is an extension of regularization by applying a smoothness map as an array of regularization parameters. Existing methods that preserve discontinuity simply change the array of regularization parameters based on local features. Therefore, the results using these methods are affected by not only local features but also noise. This paper proposes a method to obtain the smoothness map by taking the global structure of the shape into consideration. To evaluate the global structure, the smoothness map should be described as simply as possible. We apply the minimum description length (MDL) principle to obtain an appropriate smoothness map as it describes the best surface model. Then, we show that the smoothness map can be estimated by minimizing the description length for the smoothness map while fitting the surface to the observed data. As a result, the proposed method can reconstruct object surfaces while preserving discontinuities using the estimated smoothness map. Experiments performed on real scenes are shown.
Starting Page	967
Ending Page	971
File Size	654295
Page Count	5
File Format	PDF
ISBN	0818688211
DOI	10.1109/ICIP.1998.723715
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-10-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Surface reconstruction Sea surface Shape Noise shaping Humans Computer vision Laboratories Information technology Layout Nonlinear distortion
Content Type	Text
Resource Type	Article

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