A 2.5D Thinning Algorithm for Human Skeleton Extraction from a Single Depth Image

Yang Zhao
Yang Zhao
Jing He
Jing He

chinese automation congress, 2019.

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Abstract:

This paper presents a novel unsupervised approach to human skeleton extraction from a single depth image. In this approach, a 2. 5D thinning line detecting algorithm is proposed to extract thinning lines of human body in the depth data. Based on the thinning lines, we detect the outer and inner layer benchmark joints of skeletons followin...More

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