Hand posture recognition using modified Ensemble of Shape Functions and Global Radius-based Surface Descriptor


  • Dawid Warchoł Rzeszów University of Technology




hand posture recognition, point cloud, descriptor, 3D camera


This paper presents an approach to recognition of static hand gestures based on data acquired from 3D cameras and point cloud descriptors: Ensemble of Shape Functions and Global Radius-based Surface Descriptor. We describe the recognition algorithm consisting of: hand segmentation, noise removal and downsampling of point cloud, dividing point cloud bounding box to cells, feature extraction and normalization, gesture classification. Modifications of the descriptors are proposed in order to increase hand posture recognition rates and decrease quantity of used features as well as computational cost of the algorithm. The experiments performed on four challenging datasets using cross-validation tests prove the usefulness of our approach.


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Author Biography

Dawid Warchoł, Rzeszów University of Technology

Department of Computer and Control Engineering, research assistant.


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How to Cite

Warchoł, D. (2018). Hand posture recognition using modified Ensemble of Shape Functions and Global Radius-based Surface Descriptor. Computer Science, 19(2), 115. https://doi.org/10.7494/csci.2018.19.2.2718