Publication Type |
Journal Article |
School or College |
College of Engineering |
Department |
Computing, School of |
Creator |
Cohen, Elaine |
Other Author |
Kotava, Natallia; Knoll, Aaron; Schott, Mathias; Garth, Christoph; Tricoche, Xavier; Kessler, Christoph; Hansen, Charles D.; Papka, Michael E.; Hagen, Hans |
Title |
Volume rendering with multidimensional peak finding |
Date |
2012-01-01 |
Description |
Peak finding provides more accurate classification for direct volume rendering by sampling directly at local maxima in a transfer function, allowing for better reproduction of high-frequency features. However, the 1D peak finding technique does not extend to higherdimensional classification. In this work, we develop a new method for peak finding with multidimensional transfer functions, which looks for peaks along the image of the ray. We use piecewise approximations to dynamically sample in transfer function space between world-space samples. As with unidimensional peak finding, this approach is useful for specifying transfer functions with greater precision, and for accurately rendering noisy volume data at lower sampling rates. Multidimensional peak finding produces comparable image quality with order-of-magnitude better performance, and can reproduce features omitted entirely by standard classification. With no precomputation or storage requirements, it is an attractive alternative to preintegration for multidimensional transfer functions. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
Volume |
6183587 |
First Page |
61 |
Last Page |
68 |
Dissertation Institution |
University of Utah |
Language |
eng |
Bibliographic Citation |
Kotava, N., Knoll, A., Schott, M., Garth, C., Tricoche, X., Kessler, C., Cohen, E., Hansen, C. D., Papka, M. E., & Hagen, H. (2012). Volume rendering with multidimensional peak finding. IEEE Pacific Visualization Symposium 2012, PacificVis 2012 - Proceedings, 6183587, 61-8. |
Rights Management |
(c) 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
23,993,563 bytes |
Identifier |
uspace,17423 |
ARK |
ark:/87278/s6jt0859 |
Setname |
ir_uspace |
ID |
707994 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6jt0859 |