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research article

A clustering-based method to estimate saliency in 3D animated meshes

Bulbul, Abdullah
•
Arpa, Sami  
•
Capin, Tolga
2014
Computers and Graphics

We present a model to determine the perceptually significant elements in animated 3D scenes using a motion-saliency method. Our model clusters vertices with similar motion-related behaviors. To find these similarities, for each frame of an animated mesh sequence, vertices׳ motion properties are analyzed and clustered using a Gestalt approach. Each cluster is analyzed as a single unit and representative vertices of each cluster are used to extract the motion-saliency values of each group. We evaluate our method by performing an eye-tracker-based user study in which we analyze observers׳ reactions to vertices with high and low saliencies. The experiment results verify that our proposed model correctly detects the regions of interest in each frame of an animated mesh. Supplementary material can be found at http://dx.doi.org/10.1016/j.cag.2014.04.003.

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Type
research article
DOI
10.1016/j.cag.2014.04.003
Web of Science ID

WOS:000340993700002

Author(s)
Bulbul, Abdullah
Arpa, Sami  
Capin, Tolga
Date Issued

2014

Publisher

Elsevier

Published in
Computers and Graphics
Volume

43

Start page

991

End page

1004

Subjects

Computer graphics

•

Visual perception

•

Saliency

•

Animated meshes

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
ISIM  
Available on Infoscience
June 23, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/104699
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