21 September 2001 Face recognition based on eigenfeatures
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Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441438
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
Face Recognition is an area of emergent research, that offers great challenges, mainly in adverse conditions. This paper addresses face images with approximately 20% of face in partly occluded or not-well illuminated images as well as with use of disguise, scarf, sun glasses or masks. The presented techniques use three different eigenfeatures: eigeneyes, eigennose and eigenmouth. Even in these unfavorable situations, recognition rates achieved 87%. Images were extracted from The Yale Face Database.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paulo Quintiliano, Paulo Quintiliano, Antonio Nuno Santa-Rosa, Antonio Nuno Santa-Rosa, Renato Guadagnin, Renato Guadagnin, "Face recognition based on eigenfeatures", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441438; https://doi.org/10.1117/12.441438
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