Feature matching using accumulation spaces

Jesús A. Martínez Nuño, Juan Humberto Sossa Azuela

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaMICAI 2002
Subtítulo de la publicación alojadaAdvances in Artificial Intelligence - 2nd Mexican International Conference on Artificial Intelligence, Proceedings
EditoresCarlos A. Coello Coello, Alvaro de Albornoz, Luis Enrique Sucar, Osvaldo Cairo Battistutti
EditorialSpringer Verlag
Páginas61-68
Número de páginas8
ISBN (versión impresa)3540434755, 9783540434757
DOI
EstadoPublicada - 2002
Evento2nd Mexican International Conference on Artificial Intelligence, MICAI 2002 - Merida, México
Duración: 22 abr. 200226 abr. 2002

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen2313
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia2nd Mexican International Conference on Artificial Intelligence, MICAI 2002
País/TerritorioMéxico
CiudadMerida
Período22/04/0226/04/02

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