2002 Microsoft Corporation. All rights reserved 3 June 2002. 3 June 2002 • Samba web pages. 3 June 2002 • Wilcox-O'Hearn, Bryce. Zooko introduction (1999)
| Venue: | COPYRIGHT. UPDATE. 3 June 2002 • Open Content. 3 June 2002 • INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE. © INRIA. 13 May 2002. 3 June 2002 • The Linux Home page at Linux online. © Linux Online Inc. 27 May 2002. 3 June 2002 • Welcome |
| Citations: | 9 - 1 self |
BibTeX
@INPROCEEDINGS{Carmichael992002microsoft,
author = {Owen Carmichael and Daniel Huber and Martial Hebert},
title = {2002 Microsoft Corporation. All rights reserved 3 June 2002. 3 June 2002 • Samba web pages. 3 June 2002 • Wilcox-O'Hearn, Bryce. Zooko introduction},
booktitle = {COPYRIGHT. UPDATE. 3 June 2002 • Open Content. 3 June 2002 • INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE. © INRIA. 13 May 2002. 3 June 2002 • The Linux Home page at Linux online. © Linux Online Inc. 27 May 2002. 3 June 2002 • Welcome },
year = {1999},
pages = {358--367}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
In this paper, we report on recent extensions to a surface matching algorithm based on local 3-D signatures. This algorithm was previously shown to be effective in view registration of general surfaces and in object recognition from 3-D model data bases. We describe extensions to the basic matching algorithm which will enable it to address several challenging, and often overlooked, problems encountered with real data. First, we describe extensions that allow us to deal with data sets with large variations in resolution and with large data sets for which computational efficiency is a major issue. The applicability of the enhanced matching algorithm is illustrated by an example application: the construction of large terrain maps and the construction
