Image based visual servoing: A new method for the estimation of the image jacobian in dynamic environments

L. Pari, J. M. Sebastián, C. González, L. Angel

    Producción científica: Capítulo del libro/informe/acta de congresoPonencia publicada en las memorias del evento con ISBNrevisión exhaustiva

    5 Citas (Scopus)

    Resumen

    This paper describes a innovative algorithm for the on-line estimation of the image jacobian based on previous movements. It has been utilized for the tracking of an uncalibrated 3 DOF joint system, using two weakly calibrated fixed cameras. The algorithm incorporates the epipolar restriction of the two cameras conveyed in the fundamental matrix, and a reliability factor has been defined for the previous movements. The tests carried out show that the proposed algorithm is more robust in presence of noise than those obtained from already existing algorithms in specialized literature.

    Idioma originalInglés
    Título de la publicación alojadaImage Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings
    EditorialSpringer Verlag
    Páginas850-861
    Número de páginas12
    ISBN (versión impresa)3540448918, 9783540448914
    DOI
    EstadoPublicada - 2006
    Evento3rd International Conference on Image Analysis and Recognition, ICIAR 2006 - Povoa de Varzim, Portugal
    Duración: 18 sep. 200620 sep. 2006

    Serie de la publicación

    NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volumen4141 LNCS
    ISSN (versión impresa)0302-9743
    ISSN (versión digital)1611-3349

    Conferencia

    Conferencia3rd International Conference on Image Analysis and Recognition, ICIAR 2006
    País/TerritorioPortugal
    CiudadPovoa de Varzim
    Período18/09/0620/09/06

    Huella

    Profundice en los temas de investigación de 'Image based visual servoing: A new method for the estimation of the image jacobian in dynamic environments'. En conjunto forman una huella única.

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