Focus of Attention for Volumetric Data Inspection
description
Transcript of Focus of Attention for Volumetric Data Inspection
![Page 1: Focus of Attention for Volumetric Data Inspection](https://reader035.fdocuments.us/reader035/viewer/2022062316/5681682f550346895dddd187/html5/thumbnails/1.jpg)
Focus of Attention for Volumetric Data Inspection
Ivan Viola1, Miquel Feixas2,Mateu Sbert2, and Meister Eduard Gröller1
1 Institute of Computer Graphics and Algorithms
Vienna University of Technology
2 Institute of Informatics and Applications
University of Girona
![Page 2: Focus of Attention for Volumetric Data Inspection](https://reader035.fdocuments.us/reader035/viewer/2022062316/5681682f550346895dddd187/html5/thumbnails/2.jpg)
I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 2
Goal
Input: known and classified volumetric dataHigh level request: show me feature XOutput: visually pleasing focusing at X
![Page 3: Focus of Attention for Volumetric Data Inspection](https://reader035.fdocuments.us/reader035/viewer/2022062316/5681682f550346895dddd187/html5/thumbnails/3.jpg)
I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 3
Focusing Considerations
Focus discrimination Characteristic viewpointSmart focusing approach
![Page 4: Focus of Attention for Volumetric Data Inspection](https://reader035.fdocuments.us/reader035/viewer/2022062316/5681682f550346895dddd187/html5/thumbnails/4.jpg)
I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 4
Visual Focus Discrimination
Levels of sparsenessDense for focus to visually pop-outSparse for context visually suppressed
Cut-aways to unveil internal features
vessels
intestinekidneys
![Page 5: Focus of Attention for Volumetric Data Inspection](https://reader035.fdocuments.us/reader035/viewer/2022062316/5681682f550346895dddd187/html5/thumbnails/5.jpg)
I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 5
Estimation of Characteristic Viewpoints
o2 o3o1
importance distribution
o1
o2
o3
object selection by user v1
v2
v3
o1
o2
o3
visibility estimationimage-space weight
p(v1)
p(vn)
p(o1|v1)
p(om|vn)
p(o1) p(om)
...
I(vi,O) = p(oj|vi) logΣj
m p(oj|vi)p(oj)
...
...
information-theoretic frameworkfor optimal viewpoint estimation
![Page 6: Focus of Attention for Volumetric Data Inspection](https://reader035.fdocuments.us/reader035/viewer/2022062316/5681682f550346895dddd187/html5/thumbnails/6.jpg)
I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 6
Guided Navigation
Focusing at feature XDiscrimination of X from contextChange to a characteristic viewpoint of X
Refocusing from feature X to feature YDe-emphasis of feature XEmphasis of feature YChange to general characteristic viewpointChange to characteristic viewpoint of Y
![Page 7: Focus of Attention for Volumetric Data Inspection](https://reader035.fdocuments.us/reader035/viewer/2022062316/5681682f550346895dddd187/html5/thumbnails/7.jpg)
I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 7
Refocusing
o1 o2
o3
vc
v1 v2
o1 o2
![Page 8: Focus of Attention for Volumetric Data Inspection](https://reader035.fdocuments.us/reader035/viewer/2022062316/5681682f550346895dddd187/html5/thumbnails/8.jpg)
I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 8
Refocusing
![Page 9: Focus of Attention for Volumetric Data Inspection](https://reader035.fdocuments.us/reader035/viewer/2022062316/5681682f550346895dddd187/html5/thumbnails/9.jpg)
I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 9
Conclusions
Often no need to have all degrees of freedomUsers need smart tools
One image is more than thousands wordsVisual story says more than thousand images
![Page 10: Focus of Attention for Volumetric Data Inspection](https://reader035.fdocuments.us/reader035/viewer/2022062316/5681682f550346895dddd187/html5/thumbnails/10.jpg)
I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 10
Proof
Any Questions?
![Page 11: Focus of Attention for Volumetric Data Inspection](https://reader035.fdocuments.us/reader035/viewer/2022062316/5681682f550346895dddd187/html5/thumbnails/11.jpg)
Thank you for your attention!Any Questions?