Sparse representations for range data restoration
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 ap...
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 21(2012), 5 vom: 15. Mai, Seite 2909-15 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2012
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Schlagworte: | Letter Research Support, U.S. Gov't, Non-P.H.S. |
| Online verfügbar |
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