Sparse representations for range data restoration.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 22287242.
- Also identified by DOI 10.1109/TIP.2012.2185940.
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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.
Medical subject headings
- Algorithms
- Image Interpretation, Computer-Assisted
- Imaging, Three-Dimensional
- Information Storage and Retrieval
- Pattern Recognition, Automated