Abstract

It is significant for shoe-making industry to develop three-dimension digital models of human foot. In this paper, a system combining a computer stereo vision with a KINECT sensor was proposed. Based on the system, an algorithm of feature extraction and matching was examined. Experiments show that the system and relevant algorithms are successful for 3D digitization of human foot. The proposed method could be further developed to obtain characteristic parameters of human feet, which can be used directly by shoe-making machines.

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