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 approaches.

Full Text

Duke Authors

Cited Authors

  • Mahmoudi, M; Sapiro, G

Published Date

  • May 2012

Published In

Volume / Issue

  • 21 / 5

Start / End Page

  • 2909 - 2915

PubMed ID

  • 22287242

Electronic International Standard Serial Number (EISSN)

  • 1941-0042

Digital Object Identifier (DOI)

  • 10.1109/TIP.2012.2185940

Language

  • eng

Citation Source

  • PubMed