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Proceedings Paper

Restoration and fusion of laser-range camera images
Author(s): Martin Beckerman; Frank J. Sweeney
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Paper Abstract

In this work we introduce Markov cross entropic priors in the Bayesian restoration and fusion of laser range images. These cross entropic priors are used to model smoothness of the surfaces and linearity of the discontinuities. The priors are defined over a pair of coupled Markov random fields representing the corresponding pixel and line processes. Gibbsian maximum a posteriori estimates are then found using simulated annealing. Range image data are discussed, and results are presented for synthetic range images.

Paper Details

Date Published: 16 December 1992
PDF: 12 pages
Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); doi: 10.1117/12.130852
Show Author Affiliations
Martin Beckerman, Oak Ridge National Lab. (United States)
Frank J. Sweeney, Oak Ridge National Lab. (United States)


Published in SPIE Proceedings Vol. 1766:
Neural and Stochastic Methods in Image and Signal Processing
Su-Shing Chen, Editor(s)

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