Feature matching using accumulation spaces

Jesús A. Martínez Nuño, Juan Humberto Sossa Azuela

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

Abstract

A new way to solve the matching problem between model and image features is described in this paper. Matches between features accumulate in a region of an abstract space; a space similar to the Hough space. In such a space, found clusters determine possible 2D rotations and scale changes of the object in the image. Finally the relative position between model and image features is verified in each cluster. The use of a space of accumulation drastically reduces the complexity of matching. The proposed approach has been tested with several images with very promising results.

Original languageEnglish
Title of host publicationMICAI 2002
Subtitle of host publicationAdvances in Artificial Intelligence - 2nd Mexican International Conference on Artificial Intelligence, Proceedings
EditorsCarlos A. Coello Coello, Alvaro de Albornoz, Luis Enrique Sucar, Osvaldo Cairo Battistutti
PublisherSpringer Verlag
Pages61-68
Number of pages8
ISBN (Print)3540434755, 9783540434757
DOIs
StatePublished - 2002
Event2nd Mexican International Conference on Artificial Intelligence, MICAI 2002 - Merida, Mexico
Duration: 22 Apr 200226 Apr 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2313
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd Mexican International Conference on Artificial Intelligence, MICAI 2002
Country/TerritoryMexico
CityMerida
Period22/04/0226/04/02

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