Abstract Details
Activity Number:
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371
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Type:
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Contributed
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Date/Time:
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Tuesday, August 6, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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IMS
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Abstract - #309476 |
Title:
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Eyebrow Shape Analysis by Using a Modified Functional Curve Procrustes Distance
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Author(s):
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Yishi Wang*+ and Cuixian Chen and Yaw Chang
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Companies:
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The University of North Carolina Wilmington and The University of North Carolina Wilmington and UNCWilmington
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Keywords:
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shape analysis ;
2d curve
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Abstract:
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The human eyebrow is an often overlooked facial component thought to not to have much value in for automatic recognition. In this paper, a novel approach for shape analysis based on frontal face images is proposed. First, eyebrow curves are acquired by fitting cubic splines based on landmark points. Next, we propose to use a modified functional curve Procrustes distance to measure the similarities among the cubic splines, and finally a multidimensional scaling method is adopted to evaluate the effectiveness of the distance. This work extends previous work in analyzing the eyebrow for both human and machine recognition by providing a framework based on shape contours. Further this work demonstrates the effectiveness of eyebrow shape for discrimination when teamed with the appropriate metric distance.
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Authors who are presenting talks have a * after their name.
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