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3D Human Joints Extraction Using Part Segmentation

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Abstract

We propose an approach of human joints extraction using part segmentation. Six human segmentations obtained by PointNet++ are further utilized to extract the 3D joints. The average error of 14 joints is < 4.2 cm.

© 2021 The Author(s)

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