Laser Scanner Super-resolution
Abstract
We give a method for improving the resolution of surfaces captured with a laser range scanner by combining many very similar scans. This idea is an application of the 2D image processing technique known as superresolution. The input lower-resolution scans are each randomly shifted, so that each one contributes slightly different information to the final model. Noise is reduced by averaging the input scans.
BibTeX
@inproceedings {10.2312:SPBG:SPBG06:009-015,
booktitle = {Symposium on Point-Based Graphics},
editor = {Mario Botsch and Baoquan Chen and Mark Pauly and Matthias Zwicker},
title = {{Laser Scanner Super-resolution}},
author = {Kil, Yong Joo and Mederos, Boris and Amenta, Nina},
year = {2006},
publisher = {The Eurographics Association},
ISSN = {1811-7813},
ISBN = {3-905673-32-0},
DOI = {10.2312/SPBG/SPBG06/009-015}
}
booktitle = {Symposium on Point-Based Graphics},
editor = {Mario Botsch and Baoquan Chen and Mark Pauly and Matthias Zwicker},
title = {{Laser Scanner Super-resolution}},
author = {Kil, Yong Joo and Mederos, Boris and Amenta, Nina},
year = {2006},
publisher = {The Eurographics Association},
ISSN = {1811-7813},
ISBN = {3-905673-32-0},
DOI = {10.2312/SPBG/SPBG06/009-015}
}