NDLI: Eyebrow shape analysis by using a modified functional curve procrustes distance

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2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)

IEEE International Joint Conference on Biometrics

2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)

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Eyebrow shape analysis by using a modified functional curve procrustes distance

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Eyebrow shape analysis by using a modified functional curve procrustes distance

Content Provider	IEEE Xplore Digital Library
Author	Yishi Wang Cuixian Chen Albert, M. Yaw Chang Ricanek, K.
Copyright Year	2013
Description	Author affiliation: Univ. of North Carolina Wilmington, Wilmington, CA, USA (Yishi Wang; Cuixian Chen; Albert, M.; Yaw Chang; Ricanek, K.)
Abstract	To tackle the problem of automatic recognition of human eyebrow, a novel approach for shape analysis based on frontal face images is proposed in this paper. 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.
Starting Page	1
Ending Page	7
File Size	1482060
Page Count	7
File Format	PDF
ISBN	9781479905270
DOI	10.1109/BTAS.2013.6712741
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Shape Face recognition Feature extraction Face Eyebrows Splines (mathematics)
Content Type	Text
Resource Type	Article

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