Focus of Attention for Volumetric Data Inspection

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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 Univer
sity of Girona
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Goal

• Input known and classified volumetric data
• High level request show me feature X
• Output visually pleasing focusing at X

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Focusing Considerations

• Focus discrimination
• Characteristic viewpoint
• Smart focusing approach

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Visual Focus Discrimination

• Levels of sparseness
• Dense for focus to visually pop-out
• Sparse for context visually suppressed
• Cut-aways to unveil internal features

vessels
intestine
kidneys
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Estimation of Characteristic Viewpoints
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Guided Navigation

• Focusing at feature X
• Discrimination of X from context
• Change to a characteristic viewpoint of X
• Refocusing from feature X to feature Y
• De-emphasis of feature X
• Emphasis of feature Y
• Change to general characteristic viewpoint
• Change to characteristic viewpoint of Y

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Refocusing
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Refocusing
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Conclusions

• Often no need to have all degrees of freedom
• Users need smart tools
• One image is more than thousands words
• Visual story says more than thousand images

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Proof
Any Questions?
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Thank you for your attention!
Any Questions?