2003
Woodring, Jonathan; Wang, Chaoli; Shen, Han-Wei
High dimensional direct rendering of time-varying volumetric data Proceedings Article
In: IEEE, 2003.
Abstract | Links | BibTeX | Tags: hyperprojection, hyperslice, inte- gration operator, raycasting, time-varying data, transfer function, volume rendering
@inproceedings{Woodring2003,
title = {High dimensional direct rendering of time-varying volumetric data},
author = {Jonathan Woodring and Chaoli Wang and Han-Wei Shen},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/HighDimensionalDirectRenderingOfTime-VaryingVolumetricData.pdf},
year = {2003},
date = {2003-01-01},
publisher = {IEEE},
abstract = {We present an alternative method for viewing time-varying volu- metric data. We consider such data as a four-dimensional data field, rather than considering space and time as separate entities. If we treat the data in this manner, we can apply high dimensional slicing and projection techniques to generate an image hyperplane. The user is provided with an intuitive user interface to specify arbitrary hyperplanes in 4D, which can be displayed with standard volume rendering techniques. From the volume specification, we are able to extract arbitrary hyperslices, combine slices together into a hy- perprojection volume, or apply a 4D raycasting method to generate the same results. In combination with appropriate integration op- erators and transfer functions, we are able to extract and present different space-time features to the user.},
keywords = {hyperprojection, hyperslice, inte- gration operator, raycasting, time-varying data, transfer function, volume rendering},
pubstate = {published},
tppubtype = {inproceedings}
}
We present an alternative method for viewing time-varying volu- metric data. We consider such data as a four-dimensional data field, rather than considering space and time as separate entities. If we treat the data in this manner, we can apply high dimensional slicing and projection techniques to generate an image hyperplane. The user is provided with an intuitive user interface to specify arbitrary hyperplanes in 4D, which can be displayed with standard volume rendering techniques. From the volume specification, we are able to extract arbitrary hyperslices, combine slices together into a hy- perprojection volume, or apply a 4D raycasting method to generate the same results. In combination with appropriate integration op- erators and transfer functions, we are able to extract and present different space-time features to the user.
: . .
1.
Woodring, Jonathan; Wang, Chaoli; Shen, Han-Wei
High dimensional direct rendering of time-varying volumetric data Proceedings Article
In: IEEE, 2003.
@inproceedings{Woodring2003,
title = {High dimensional direct rendering of time-varying volumetric data},
author = {Jonathan Woodring and Chaoli Wang and Han-Wei Shen},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/HighDimensionalDirectRenderingOfTime-VaryingVolumetricData.pdf},
year = {2003},
date = {2003-01-01},
publisher = {IEEE},
abstract = {We present an alternative method for viewing time-varying volu- metric data. We consider such data as a four-dimensional data field, rather than considering space and time as separate entities. If we treat the data in this manner, we can apply high dimensional slicing and projection techniques to generate an image hyperplane. The user is provided with an intuitive user interface to specify arbitrary hyperplanes in 4D, which can be displayed with standard volume rendering techniques. From the volume specification, we are able to extract arbitrary hyperslices, combine slices together into a hy- perprojection volume, or apply a 4D raycasting method to generate the same results. In combination with appropriate integration op- erators and transfer functions, we are able to extract and present different space-time features to the user.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We present an alternative method for viewing time-varying volu- metric data. We consider such data as a four-dimensional data field, rather than considering space and time as separate entities. If we treat the data in this manner, we can apply high dimensional slicing and projection techniques to generate an image hyperplane. The user is provided with an intuitive user interface to specify arbitrary hyperplanes in 4D, which can be displayed with standard volume rendering techniques. From the volume specification, we are able to extract arbitrary hyperslices, combine slices together into a hy- perprojection volume, or apply a 4D raycasting method to generate the same results. In combination with appropriate integration op- erators and transfer functions, we are able to extract and present different space-time features to the user.