Abstract
In this paper we consider the automatic detection of the presence of glasses. Using the eye locations detected in facial images, a region below the eyes is investigated where glasses are potentially expected. We introduce three measures for the likelihood of glasses. Experimental results have demonstrated a good separation of the two classes of facial images with and without glasses, based on these measures. Information about the presence of glasses will be useful to support automatic annotation of large image databases and indexing for fast face recognition.
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© 1997 Springer-Verlag Berlin Heidelberg
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Jiang, X., Binkert, M., Achermann, B., Bunke, H. (1997). Detection of glasses in facial images. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63931-4_283
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DOI: https://doi.org/10.1007/3-540-63931-4_283
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Online ISBN: 978-3-540-69670-4
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