Eyebrow segmentation using active shape models

Karen Hollingsworth; Samuel Clark; Joseph Thompson; Patrick J. Flynn; Kevin W. Bowyer

doi:10.1117/12.2017646

31 May 2013 Eyebrow segmentation using active shape models

Karen Hollingsworth, Samuel Clark, Joseph Thompson, Patrick J. Flynn, Kevin W. Bowyer

Proceedings Volume 8712, Biometric and Surveillance Technology for Human and Activity Identification X; 871208 (2013) https://doi.org/10.1117/12.2017646
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Prior research has shown that manually-segmented eyebrows can be used for recognition purposes. However, eyebrow recognition is not as useful without an automated segmentation algorithm. We propose a method to automatically outline the eyebrows in a face using active shape models. We train several models using the images from the Face Recognition Grand Challenge and find that including more landmark points around the eyebrows and including the eyes in the model are beneficial. Our eyebrow active shape model gives a 38.6% improvement over eyebrow segmentation obtained using an open-source face active shape model. When comparing the automatically segmented regions with manual segmentation, we achieve 87% true overlap score with a 12% false overlap score.

Citation Download Citation

Karen Hollingsworth, Samuel Clark, Joseph Thompson, Patrick J. Flynn, and Kevin W. Bowyer "Eyebrow segmentation using active shape models", Proc. SPIE 8712, Biometric and Surveillance Technology for Human and Activity Identification X, 871208 (31 May 2013); https://doi.org/10.1117/12.2017646

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