We propose a new approach to the hand pose estimation problem using only volume information. We describe a thermal and color image-based approach to generate silhouettes of the hand with which voxel images are produced using shape-from-silhouette. We assume a 16-component, 27 degree-of-freedom kinematically constrained Gaussian mixture model, and fit it over the voxel images. We constrain the otherwise freely-arranged components of this model by a system of equations describing joint characteristics parameterized by component centroids and orientations. We use the EM algorithm and steepest descent to estimate the parameters of the model such that they yield the maximum likelihood and kinematically correct pose estimates. We demonstrate the effectiveness of the proposed system on synthesized as well as captured voxel images of the hand, and show that given appropriate initial conditions, the iterative model parameter estimation procedure effectively converges to and tracks the "voxelized" articulated hand.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multimodal Voxelization and Kinematically Constrained Gaussian Mixture Models for Full Hand Pose Estimation: An Integrated Systems Approach


    Contributors:


    Publication date :

    2006-01-01


    Size :

    964730 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Estimation of Articulated Motion Using Kinematically Constrained Mixture Densities

    Hunter, E. / Kelly, P. / Jain, R. et al. | British Library Conference Proceedings | 1997


    Fundamentals of Surface Voxelization

    Cohen-Or, D. / Kaufman, A. | British Library Online Contents | 1995


    Communication perception integrated scheduling method based on point cloud voxelization

    LUO GUIYANG / LI JINGLIN / YUAN QUAN et al. | European Patent Office | 2024

    Free access

    Mixtures of Gaussian process models for human pose estimation

    Fergie, M. / Galata, A. | British Library Online Contents | 2013