INSTANCE SEGMENTATION OF 3D MESH MODEL BY INTEGRATING 2D AND 3D DATA


Gender Perception From Gait: A Comparison Between Biological, Biomimetic and Non-biomimetic Learning Paradigms

This paper explores in parallel the underlying mechanisms in human perception of biological motion and the best approaches for automatic classification of gait.The experiments tested three different learning paradigms, namely, biological, biomimetic, and non-biomimetic models for gender identification from human gait.Psychophysical experiments with

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