Current approaches of human body skeleton extraction mainly suffer from following problems: insufficient temporal and spatial continuity, unrobust to background, ambient noise, etc. This paper proposes a three-dimensional human body skeleton extraction method from consecutive meshes. We extract the consistent skeletons from consecutive surfaces based on shape segmentation and skeleton sequences; then, we present a spatiotemporal skeleton optimization model to adjust the skeleton sequences. Experiments on multiview images captured from a light field device demonstrate that our method captures more complete and accurate skeletons compared to state-of-the-art methods.
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