State of the art in transfer functions for direct volume rendering
A central topic in scientific visualization is the transfer function (TF) for volume rendering.
The TF serves a fundamental role in translating scalar and multivariate data into color and …
The TF serves a fundamental role in translating scalar and multivariate data into color and …
[HTML][HTML] A survey of volume visualization techniques for feature enhancement
C Xu, G Sun, R Liang - Visual Informatics, 2021 - Elsevier
Volume rendering techniques have been developed for decades and have been widely
applied in many research fields, such as medical image visualization, geological …
applied in many research fields, such as medical image visualization, geological …
[BOOK][B] Visual computing for medicine: theory, algorithms, and applications
Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …
and their applications in medical diagnosis, education, and treatment. The book includes …
A generative model for volume rendering
M Berger, J Li, JA Levine - IEEE transactions on visualization …, 2018 - ieeexplore.ieee.org
We present a technique to synthesize and analyze volume-rendered images using
generative models. We use the Generative Adversarial Network (GAN) framework to …
generative models. We use the Generative Adversarial Network (GAN) framework to …
Efficient volume exploration using the gaussian mixture model
The multidimensional transfer function is a flexible and effective tool for exploring volume
data. However, designing an appropriate transfer function is a trial-and-error process and …
data. However, designing an appropriate transfer function is a trial-and-error process and …
Deep-learning-assisted volume visualization
HC Cheng, A Cardone, S Jain, E Krokos… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Designing volume visualizations showing various structures of interest is critical to the
exploratory analysis of volumetric data. The last few years have witnessed dramatic …
exploratory analysis of volumetric data. The last few years have witnessed dramatic …
Fiber surfaces: Generalizing isosurfaces to bivariate data
Scientific visualization has many effective methods for examining and exploring scalar and
vector fields, but rather fewer for bivariate fields. We report the first general purpose …
vector fields, but rather fewer for bivariate fields. We report the first general purpose …
Exploring spatiotemporal clusters based on extended kernel estimation methods
J Lee, J Gong, S Li - International Journal of Geographical …, 2017 - Taylor & Francis
We examined three different ways to integrate spatial and temporal data in kernel density
estimation methods (KDE) to identify space–time clusters of geographic events. Spatial data …
estimation methods (KDE) to identify space–time clusters of geographic events. Spatial data …
Hierarchical exploration of volumes using multilevel segmentation of the intensity-gradient histograms
CY Ip, A Varshney, J JaJa - IEEE Transactions on Visualization …, 2012 - ieeexplore.ieee.org
Visual exploration of volumetric datasets to discover the embedded features and spatial
structures is a challenging and tedious task. In this paper we present a semi-automatic …
structures is a challenging and tedious task. In this paper we present a semi-automatic …
Scalable multivariate volume visualization and analysis based on dimension projection and parallel coordinates
In this paper, we present an effective and scalable system for multivariate volume data
visualization and analysis with a novel transfer function interface design that tightly couples …
visualization and analysis with a novel transfer function interface design that tightly couples …