Academic Journal

Importance-Driven Focus of Attention

التفاصيل البيبلوغرافية
العنوان: Importance-Driven Focus of Attention
المؤلفون: Ivan Viola, Miquel Feixas, Mateu Sbert, Meister Eduard Gröller
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-pdf.pdf.
سنة النشر: 2006
المجموعة: CiteSeerX
الوصف: This paper introduces a concept for automatic focusing on features within a volumetric data set. The user selects a focus, i.e., object of interest, from a set of pre-defined features. Our system automatically determines the most expressive view on this feature. A characteristic viewpoint is estimated by a novel information-theoretic framework which is based on the mutual information measure. Viewpoints change smoothly by switching the focus from one feature to another one. This mechanism is controlled by changes in the importance distribution among features in the volume. The highest importance is assigned to the feature in focus. Apart from viewpoint selection, the focusing mechanism also steers visual emphasis by assigning a visually more prominent representation. To allow a clear view on features that are normally occluded by other parts of the volume, the focusing for example incorporates cut-away views.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.67.5983; http://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-pdf.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.67.5983
http://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-pdf.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.3985C67D
قاعدة البيانات: BASE