Finding surface correspondence for object recognition and registration using pairwise geometric histograms

A. P. Ashbrook, R. B. Fisher, C. Robertson, N. Werghi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

57 Scopus citations

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.

Original languageBritish English
Title of host publicationComputer Vision - ECCV 1998 - 5th European Conference on Computer Vision, Proceedings
EditorsBernd Neumann, Hans Burkhardt
PublisherSpringer Verlag
Pages674-686
Number of pages13
ISBN (Print)3540646132, 9783540646136
DOIs
StatePublished - 1998
Event5th European Conference on Computer Vision, ECCV 1998 - Freiburg, Germany
Duration: 2 Jun 19986 Jun 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1407
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th European Conference on Computer Vision, ECCV 1998
Country/TerritoryGermany
CityFreiburg
Period2/06/986/06/98

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