@INPROCEEDINGS {Haidacher-2010-VVS,
author = "Martin Haidacher and Daniel Patel and Stefan Bruckner and Armin Kanitsar and Meister Eduard Gr{\"o}ller",
title = "Volume Visualization based on Statistical Transfer-Function Spaces",
booktitle = "Proceedings of IEEE Pacific Visualization 2010",
year = "2010",
pages = "17--24",
month = "mar",
abstract = "It is a difficult task to design transfer functions for noisy data.  In traditional transfer-function spaces, data values of different  materials overlap. In this paper we introduce a novel statistical  transfer-function space which in the presence of noise, separates  different materials in volume data sets. Our method adaptively estimates  statistical properties, i.e. the mean value and the standard deviation,  of the data values in the neighborhood of each sample point. These  properties are used to define a transfer-function space which enables  the distinction of different materials. Additionally, we present  a novel approach for interacting with our new transfer-function space  which enables the design of transfer functions based on statistical  properties. Furthermore, we demonstrate that statistical information  can be applied to enhance visual appearance in the rendering process.  We compare the new method with 1D, 2D, and LH transfer functions  to demonstrate its usefulness.",
pdf = "pdfs/Haidacher-2010-VVS.pdf",
images = "images/Haidacher-2010-VVS.jpg",
thumbnails = "images/Haidacher-2010-VVS.png",
youtube = "https://www.youtube.com/watch?v=firkkbHdZ5o",
doi = "10.1109/PACIFICVIS.2010.5429615",
keywords = "transfer function, statistics, shading, noisy data, classification",
location = "Taipei, Taiwan",
url = "//www.cg.tuwien.ac.at/research/publications/2010/haidacher_2010_statTF/"
}