Camera full pose estimation using only a monocular camera model is an important topic in the field of visual servoing. In this paper a simple adaptive method for updating the weights of particle filter is proposed. Using this method, the efficiency of particle filter in estimating the full pose of camera is improved. Results of the proposed method are compared with those of generic particle filter (PF) and EKF under the same condition through an intensive computer simulation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Adaptive particle filter based pose estimation using a monocular camera model


    Contributors:


    Publication date :

    2010-10-01


    Size :

    500244 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Monocular head pose estimation using generalized adaptive view-based appearance model

    Morency, L. P. / Whitehill, J. / Movellan, J. | British Library Online Contents | 2010


    Spacecraft Pose Estimation using Principal Component Analysis and a Monocular Camera

    Shi, Jian-Feng / Ulrich, Steve / Ruel, Stephane | AIAA | 2017


    3D Face pose estimation and tracking from a monocular camera

    Ji, Q. | British Library Online Contents | 2002


    SYSTEM AND METHOD TO IMPROVE MULTI-CAMERA MONOCULAR DEPTH ESTIMATION USING POSE AVERAGING

    GUIZILINI VITOR / AMBRUS RARES ANDREI / GAIDON ADRIEN DAVID et al. | European Patent Office | 2023

    Free access