Evaluation of static Hand Gesture algorithms
Marek Vančo, Ivan Minárik, Gregor Rozinaj · International Conference on Systems, Signals and Image Processing · 2014
With emergence of the smart and intuitive interfaces during the past few years the need for robust and reliable algorithms rises. Many methods have been proposed for image segmentation, and particularly for static gesture recognition. In this article, using Microsoft Kinect sensor, we attempt to analyze and compare three selected algorithms for image segmentation intended for static gesture recognition, namely Convexity Defects, K-Curvature and Part-based Hand Gesture Recognition.