CWMA: Circular window matching algorithm

Daniel Miramontes-Jaramillo, Vitaly Kober, Víctor Hugo Díaz-Ramírez

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

6 Citas (Scopus)

Resumen

Various vision applications exploit matching algorithms to locate a target object in a scene image. A new fast matching algorithm based on recursive calculation of oriented gradient histograms over several circular sliding windows is presented. In order to speed up the algorithm pyramidal image decomposition technique and parallel implementation with modern multicore processors are utilized. The proposed fast algorithm yields a good invariance performance for both in-plane and out-of-plane rotations of a scene image. Computer results obtained with the proposed algorithm are presented and compared with those of common algorithms in terms of matching accuracy and processing time.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Proceedings
Páginas439-446
Número de páginas8
EdiciónPART 1
DOI
EstadoPublicada - 2013
Evento18th Iberoamerican Congress on Pattern Recognition, CIARP 2013 - Havana, Cuba
Duración: 20 nov. 201323 nov. 2013

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 1
Volumen8258 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia18th Iberoamerican Congress on Pattern Recognition, CIARP 2013
País/TerritorioCuba
CiudadHavana
Período20/11/1323/11/13

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