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An improved evolutionary approach for egomotion estimation with a 3D TOF camera

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4 Citas (Scopus)

Resumen

We propose an evolutionary approach for egomotion estimation with a 3D TOF camera. It is composed of two main modules plus a preprocessing step. The first module computes the Neural Gas (NG) approximation of the preprocessed camera 3D data. The second module is an Evolution Strategy which performs the task of estimating the motion parameters by searching on the space of linear transformations restricted to the translation and rotation, applied on the codevector sets obtained by the NG for successive camera readings. The fitness function is the matching error between the transformed last set of codevectors and the codevector set corresponding to the next camera readings. In this paper, we report new modifications and improvements of this system and provide several comparisons between our and other well known registration algorithms.

Idioma originalInglés
Título de la publicación alojadaBioinspired Applications in Artificial and Natural Computation - Third International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009, Proceedings
Páginas390-398
Número de páginas9
EdiciónPART 2
DOI
EstadoPublicada - 2009
Publicado de forma externa
Evento3rd International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009 - Santiago de Compostela, Espana
Duración: 22 jun 200926 jun 2009

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 2
Volumen5602 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia3rd International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009
País/TerritorioEspana
CiudadSantiago de Compostela
Período22/06/0926/06/09

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