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Activity Number: 371
Type: Contributed
Date/Time: Tuesday, August 6, 2013 : 10:30 AM to 12:20 PM
Sponsor: IMS
Abstract - #309476
Title: Eyebrow Shape Analysis by Using a Modified Functional Curve Procrustes Distance
Author(s): Yishi Wang*+ and Cuixian Chen and Yaw Chang
Companies: The University of North Carolina Wilmington and The University of North Carolina Wilmington and UNCWilmington
Keywords: shape analysis ; 2d curve
Abstract:

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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