Hand segmentation using a chromatic 3D camera

Abstract

In this paper we present a new approach for hand shape segmentation using a passive monocular 3D camera. The camera depth estimation is based on the Depth from Defocus principle improved with the use of enhanced chromatic aberration. As this camera is passive and monocular, it can be used for indoor and outdoor application on a compact device, in contrast with active IR depth sensors that can be disturbed with the sun’s infrared illumination. We show on various experimental examples that hand can be segmented using a depth cue from the proposed 3D camera

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