Sparse representations for range data restoration

Mona Mahmoudi; Guillermo Sapiro

doi:10.1109/TIP.2012.2185940

Sparse representations for range data restoration

Mona Mahmoudi, Guillermo Sapiro

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

In this paper, the problem of denoising and occlusion restoration of 3-D range data based on dictionary learning and sparse representation methods is explored. We apply these techniques after converting the noisy 3-D surface into one or more images. We present experimental results on the proposed approaches.

Original language	English (US)
Article number	6140569
Pages (from-to)	2909-2915
Number of pages	7
Journal	IEEE Transactions on Image Processing
Volume	21
Issue number	5
DOIs	https://doi.org/10.1109/TIP.2012.2185940
State	Published - May 2012
Externally published	Yes

All Science Journal Classification (ASJC) codes

Software
Computer Graphics and Computer-Aided Design

Keywords

Occlusion restoration
range data denoising
range data resolution enhancement
sparse modeling

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10.1109/TIP.2012.2185940

Cite this

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title = "Sparse representations for range data restoration",

abstract = "In this paper, the problem of denoising and occlusion restoration of 3-D range data based on dictionary learning and sparse representation methods is explored. We apply these techniques after converting the noisy 3-D surface into one or more images. We present experimental results on the proposed approaches.",

keywords = "Occlusion restoration, range data denoising, range data resolution enhancement, sparse modeling",

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KW - range data denoising

KW - range data resolution enhancement

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Sparse representations for range data restoration

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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