Occlusion is an unavoidable subject in most machine vision areas. Recognition of partially-occluded hand gestures is an important problem. In this paper a new algorithm is proposed for the recognition of occluded and non-occluded hand gestures based on matching the Graphs of gestures in an eigenspace.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Graph-based matching of occluded hand gestures


    Contributors:


    Publication date :

    2001-01-01


    Size :

    626294 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Graph-Based Matching of Occluded Hand Gestures

    Shamaie, A. / Sutherland, A. | British Library Conference Proceedings | 2001


    Recognizing hand gestures using the weighted elastic graph matching (WEGM) method

    Li, Y. T. / Wachs, J. P. | British Library Online Contents | 2013


    Recognition of partially occluded objects using probabilistic ARG (attributed relational graph)-based matching

    Park, B. G. / Lee, K. M. / Lee, S. U. et al. | British Library Online Contents | 2003


    Drone Controlled by Hand Gestures

    Gota, Dan Ioan / Misaros, Marius / Niste, Daniela Florentina et al. | IEEE | 2024


    Hand Gestures Recognition using Thermal Images

    BRELAND, DANIEL SKOMEDAL | BASE | 2021

    Free access