An Application of Markov Random Fields to Range Sensing
Abstract
This paper describes a highly successful application of MRFs to the problem of generating high-resolution range images. A new generation of range sensors combines the capture of low-resolution range images with the acquisition of registered high-resolution camera images. The MRF in this paper exploits the fact that discontinuities in range and coloring tend to co-align. This enables it to generate high-resolution, low-noise range images by integrating regular camera images into the range data. We show that by using such an MRF, we can substantially improve over existing range imaging technology.
Cite
Text
Diebel and Thrun. "An Application of Markov Random Fields to Range Sensing." Neural Information Processing Systems, 2005.Markdown
[Diebel and Thrun. "An Application of Markov Random Fields to Range Sensing." Neural Information Processing Systems, 2005.](https://mlanthology.org/neurips/2005/diebel2005neurips-application/)BibTeX
@inproceedings{diebel2005neurips-application,
title = {{An Application of Markov Random Fields to Range Sensing}},
author = {Diebel, James and Thrun, Sebastian},
booktitle = {Neural Information Processing Systems},
year = {2005},
pages = {291-298},
url = {https://mlanthology.org/neurips/2005/diebel2005neurips-application/}
}