The role of the infant vision system in 3d object recognition

Roberto A. Vázquez, Humberto Sossa, Beatriz A. Garro

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

2 Citas (Scopus)

Resumen

Recently, it was shown how some metaphors, adopted from the infant vision system, were useful for face recognition. In this paper we adopt those biological hypotheses and apply them to the 3D object recognition problem. As the infant vision responds to low frequencies of the signal, a low-filter is used to remove high frequency components from the image. Then we detect subtle features in the image by means of a random feature selection detector. At last, a dynamic associative memory (DAM) is fed with this information for training and recognition. To test the accuracy of the proposal we use the Columbia Object Image Library (COIL 100).

Idioma originalInglés
Título de la publicación alojadaAdvances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
Páginas800-807
Número de páginas8
EdiciónPART 2
DOI
EstadoPublicada - 2009
Evento15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland, Nueva Zelanda
Duración: 25 nov. 200828 nov. 2008

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 2
Volumen5507 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia15th International Conference on Neuro-Information Processing, ICONIP 2008
País/TerritorioNueva Zelanda
CiudadAuckland
Período25/11/0828/11/08

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