Abstract

PAULINO DA SILVA, Juarez; LAMAR, Marcus Vinicius  and  BORDIM, Jacir Luiz. Accuracy and Efficiency Performance of the ICP Procedure Applied to Sign Language Recognition. CLEIej [online]. 2014, vol.17, n.2, pp.11-11. ISSN 0717-5000.

This work addresses the problem of recognizing the American Sign Language (ASL) hand alphabet relying only on depth information acquired from an RGB-D sensor. To accomplish this goal, a novel Iterative Closest Point (ICP) based recognition methodology is proposed where it comprehensively analyzes the inputs and outputs of the alignment as efficiency and accuracy determinants. Next, a novel classification technique, denoted Approximated KB-fit, is proposed to efficiently handle the space complexity of the database template matching. The overall accuracy of the recognition reached a performance of 99.04% in a cross-validation workbench with 520 distinct input depth images. The achieved frame rate was 7.41 FPS performed on a 2:4 GHz single processor based machine

Keywords : 3D Shape Congruence; ASL Hand Alphabet Recognition; ICP Alignment; Pattern Recognition; Template Matching Architecture.

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