Sparse representations for range data restoration.
Publication
, Journal Article
Mahmoudi, M; Sapiro, G
Published in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
May 2012
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.
Duke Scholars
Published In
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
DOI
EISSN
1941-0042
ISSN
1057-7149
Publication Date
May 2012
Volume
21
Issue
5
Start / End Page
2909 / 2915
Related Subject Headings
- Sensitivity and Specificity
- Reproducibility of Results
- Pattern Recognition, Automated
- Information Storage and Retrieval
- Imaging, Three-Dimensional
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Artificial Intelligence & Image Processing
- Algorithms
- 4607 Graphics, augmented reality and games
Citation
APA
Chicago
ICMJE
MLA
NLM
Mahmoudi, M., & Sapiro, G. (2012). Sparse representations for range data restoration. IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society, 21(5), 2909–2915. https://doi.org/10.1109/tip.2012.2185940
Mahmoudi, Mona, and Guillermo Sapiro. “Sparse representations for range data restoration.” IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society 21, no. 5 (May 2012): 2909–15. https://doi.org/10.1109/tip.2012.2185940.
Mahmoudi M, Sapiro G. Sparse representations for range data restoration. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2012 May;21(5):2909–15.
Mahmoudi, Mona, and Guillermo Sapiro. “Sparse representations for range data restoration.” IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society, vol. 21, no. 5, May 2012, pp. 2909–15. Epmc, doi:10.1109/tip.2012.2185940.
Mahmoudi M, Sapiro G. Sparse representations for range data restoration. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2012 May;21(5):2909–2915.
Published In
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
DOI
EISSN
1941-0042
ISSN
1057-7149
Publication Date
May 2012
Volume
21
Issue
5
Start / End Page
2909 / 2915
Related Subject Headings
- Sensitivity and Specificity
- Reproducibility of Results
- Pattern Recognition, Automated
- Information Storage and Retrieval
- Imaging, Three-Dimensional
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Artificial Intelligence & Image Processing
- Algorithms
- 4607 Graphics, augmented reality and games