@inproceedings{b4581da7273043d8bb4b0184e5105e77,
title = "Finding surface correspondence for object recognition and registration using pairwise geometric histograms",
abstract = "Pairwise geometric histograms have been demonstrated as an effective descriptor of arbitrary 2-dimensional shape which enable robust and efficient object recognition in complex scenes. In this paper we describe how the approach can be extended to allow the representation and classification of arbitrary 21/2 and 3-dimensional surface shape. This novel representation can be used in important vision tasks such as the recognition of objects with complex free-form surfaces and the registration of surfaces for building 3-dimensional models from multiple views. We apply this new representation to both of these tasks and present some promising results.",
author = "Ashbrook, {A. P.} and Fisher, {R. B.} and C. Robertson and N. Werghi",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1998.; 5th European Conference on Computer Vision, ECCV 1998 ; Conference date: 02-06-1998 Through 06-06-1998",
year = "1998",
doi = "10.1007/BFb0054772",
language = "British English",
isbn = "3540646132",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "674--686",
editor = "Bernd Neumann and Hans Burkhardt",
booktitle = "Computer Vision - ECCV 1998 - 5th European Conference on Computer Vision, Proceedings",
address = "Germany",
}