A Feature-Driven Approach to Locating Optimal Viewpoints for Volume Visualization

Takahashi, Shigeo; Fujishiro, Issei; Takeshima, Yuriko; Nishita, Tomoyuki

doi:10.1109/vis.2005.4

Cited by 63 publications

(47 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is formulated based on the Shannon entropy and incorporates both the projection area of each visible face and the number of visible faces into the definition. However, the original definition was developed based on perspective projection, thus we use its extended version defined in [40] for orthogonal projection.…”

Section: View Sampling and Viewpoint Entropy Distribution Generationmentioning

confidence: 99%

Efficient 3D reflection symmetry detection: A view-based approach

Johan²,

et al. 2016

Graphical Models

View full text Add to dashboard Cite

Section: View Sampling and Viewpoint Entropy Distribution Generationmentioning

confidence: 99%

Efficient 3D reflection symmetry detection: A view-based approach

Johan²,

et al. 2016

Graphical Models

View full text Add to dashboard Cite

“…Bordoloi and Shen (2005) applied the concept of viewpoint entropy for volume viewpoint selection, and the information was adapted to the visibility of each voxel weighted by its noteworthiness value. Takahashi et al (2005) explored the work for evaluating the viewpoint optimality of each decomposed feature component, which is assigned with a weight to emphasize its importance. Tao et al (2009) integrated shape information into viewpoint entropy to locate the structural information maximized viewpoint.…”

Section: Viewpoint Quality Measuresmentioning

confidence: 99%

Topology aware view path design for time-varying volume data

Bai

Yang

Zhou

et al. 2016

J Vis

View full text Add to dashboard Cite

View path design is used to generate proper animations for time-varying volume datasets, and it is crucial to show the evolution of features in the animation. In this paper, we present a novel view path design method to display the evolution of features with their topology. Firstly, feature extraction and tracking methods are employed to capture the temporal feature evolution. Then, the viewpoint quality is estimated by combining the visual information based on the viewpoint mutual information with the topology information based on the skeletons of features. Temporal viewpoint coherence is further proposed to partition the time range, and the volume datasets in each time segment share a fixed viewpoint. At last, the viewpoints in adjacent time segments are linked with a smooth view path, by means of which the user is able to explore the complex feature evolution in the time-varying volume dataset. Experimental results demonstrate the utility of the proposed topology aware view path design method.

show abstract

“…Volume Exploration by automatically selecting good views is also closely related to the effectiveness of visualization, as good viewpoints may deliver informative results that can effectively reveal the features in a volume [1,19]. Our framework addresses a different problem and focuses on automatic effectiveness evaluation of the DVRIs rendered from a set of viewpoints which are either generated automatically by these methods or selected manually by users.…”

Section: Previous Workmentioning

confidence: 99%

Quantitative effectiveness measures for direct volume rendered images

Chung

et al. 2010

2010 IEEE Pacific Visualization Symposium (PacificVis)

View full text Add to dashboard Cite

With the rapid development in graphics hardware and volume rendering techniques, many volumetric datasets can now be rendered in real time on a standard PC equipped with a commodity graphics board. However, the effectiveness of the results, especially direct volume rendered images, is difficult to validate and users may not be aware of ambiguous or even misleading information in the results. This limits the applications of volume visualization. In this paper, we introduce four quantitative effectiveness measures: distinguishability, contour clarity, edge consistency, and depth coherence measures, which target different effectiveness issues for direct volume rendered images. Based on the measures, we develop a visualization system with automatic effectiveness assessment, providing users with instant feedback on the effectiveness of the results. The case study and user evaluation have demonstrated the high potential of our system.

show abstract

A Feature-Driven Approach to Locating Optimal Viewpoints for Volume Visualization

Cited by 63 publications

References 33 publications

Efficient 3D reflection symmetry detection: A view-based approach

Efficient 3D reflection symmetry detection: A view-based approach

Topology aware view path design for time-varying volume data

Quantitative effectiveness measures for direct volume rendered images

Contact Info

Product

Resources

About