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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/5524

Title: A self-shadow algorithm for dynamic hair using density clustering
Authors: MERTENS, Tom
Kautz, J.
BEKAERT, Philippe
Issue Date: 2004
Citation: Eurographics Symposium on Rendering 2004 (EGSR 2004), Norrk√∂ping, Sweden, June 21-23, 2004. p. 173-178.
Abstract: Self-shadowing is an important factor in the appearance of hair and fur. In this paper we present a new rendering algorithm to accurately compute shadowed hair at interactive rates using graphics hardware. No constraint is imposed on the hair style, and its geometry can be dynamic. Similar to previously presented methods, a 1D visibility function is constructed for each line of sight of the light source view. Our approach differs from other work by treating the hair geometry as a 3D density field, which is sampled on the fly using simple rasterization. The rasterized fragments are clustered, effectively estimating the density of hair along aray. Based hereon, the visibility function is constructed. We show that realistic self-shadowing of thousands of individual dynamic hair strands can be rendered at interactive rates using consumer graphics hardware.
URI: http://hdl.handle.net/1942/5524
Category: C2
Type: Proceedings Paper
Appears in Collections: Research publications

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