An Application of Markov Random Fields to Range Sensing

DMCA

An Application of Markov Random Fields to Range Sensing (2005)

Cached

Download Links

Other Repositories/Bibliography

DBLP

by James Diebel , Sebastian Thrun

Venue:	In NIPS
Citations:	95 - 6 self

BibTeX

@INPROCEEDINGS{Diebel05anapplication,
    author = {James Diebel and Sebastian Thrun},
    title = {An Application of Markov Random Fields to Range Sensing},
    booktitle = {In NIPS},
    year = {2005},
    pages = {291--298},
    publisher = {MIT Press}
}

OpenURL

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. 1

Keyphrases

markov random field range sensing low-noise range image range sensor registered high-resolution camera image new generation regular camera low-resolution range image high-resolution range image successful application range data

DMCA