A data-driven approach to quantifying natural human motion
ACM SIGGRAPH 2005 Papers
Hair motion capturing from multiple view videos
ACM SIGGRAPH 2012 Posters
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Processes such as modeling, rendering and simulating hair are essential for creating virtual humans in various CG applications. CG hair motion simulations are commonly constructed using a physics-based model and have been extensively researched. While physics-based approaches have achieved effective and sophisticated hair motion, data-driven approaches for hair motion have been scarcely researched. This paper therefore outlines our hair animation approach which uses Motion Capture System to capture 3D hair motion. Our approach enables users to easily simulate complex hair motions such as the collision between hair strands and the human body and the movement of hair strands as they are blown in a variety of directions by wind.