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231224s2012 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2012.2185940
|2 doi
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|a DE-627
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|a eng
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| 100 |
1 |
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|a Mahmoudi, Mona
|e verfasserin
|4 aut
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| 245 |
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|a Sparse representations for range data restoration
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|c 2012
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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| 500 |
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|a Date Completed 15.08.2012
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|a Date Revised 19.04.2012
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a 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
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|a Letter
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 700 |
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|a Sapiro, Guillermo
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 21(2012), 5 vom: 15. Mai, Seite 2909-15
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|x 1941-0042
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|g year:2012
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|g day:15
|g month:05
|g pages:2909-15
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|u http://dx.doi.org/10.1109/TIP.2012.2185940
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