Recognition of 3D object from one image based on projective and permutative invariants

J. M. González, J. M. Sebastián, D. García, F. Sánchez, L. Angel

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1 Cita (Scopus)

Resumen

We present a new approach to recognize 3D objects in an image taking the available information in it. To reach this aim a method based on a two step algorithm will be developed. In the first step, each 3D model will be converted in a set of 2D images using an aspect graph algorithm in which the concept of visual event is defined as the moment when the projective invariants got from the model have changed. In the second step, we use these invariants to recognize the object situated in the scene. The main contribution to this work is the combination of two typical techniques used to object recognition like are aspect graph and projective invariants. We have obtained better results with this combinations than by using them separately.

Idioma originalInglés
Título de la publicación alojadaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditoresAurelio Campilho, Mohamed Kamel
EditorialSpringer Verlag
Páginas705-712
Número de páginas8
ISBN (versión impresa)3540232230, 9783540232230
DOI
EstadoPublicada - 2004
Publicado de forma externa

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen3211
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

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