filename     : Ozt12a.pdf
entry        : inproceedings
conference   : CASA 2012
pages        : 363--373
year         : 2012
month        : May
title        : Adaptive surface splatting for facial rendering
subtitle     :
author       : H. Kim, A. C. Oztireli, M. Gross, and S. Choi
booktitle    : Computer Animation and Virtual Worlds
ISSN/ISBN    : 1546-427X
editor       : 
publisher    : John Wiley & Sons, Ltd
publ.place   : Singapore
volume       : 23
issue        : 3-4
language     : English
keywords     : point-based rendering, surface splatting, facial rendering, spectral sampling
abstract     : Recent advances in facial scanning technology provide highly detailed faces, including ?ne wrinkles. However, because of the increasing complexity of the resulting models, it is necessary to reduce the amount of data while preserving small- scale facial features. In this paper, we propose a new adaptive surface splatting method to reduce the number of splats by optimizing the size and shape of splats using geometric and color information. Using the optimized splats, we can improve the rendering quality, especially in the visually sensitive feature areas. Our adaptive surface splatting is very effective to render massive facial data on tablet PCs or smartphones.