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6 September 2019 Real-time multi-criteria classification of facial images
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We proposes a practical technique for the classification of facial images across multiple criteria, such as: gender, age, ethnicity, expression, and others. The technique uses a novel form of Gabor-based features followed by the application of the PCA and LDA algorithms. The computation of class scores in the context of nearest centroid classification is also novel, and relies, in part, on properties of the proposed features. We demonstrate that the proposed form of Gabor features is particularly suitable for achieving simultaneous classification. The reported results are obtained using a set of standard databases and include comparisons against known state-of-the-art algorithms. The utility of the proposed scheme is demonstrated by practical applications requiring multiple classification results to be obtained in real time while using typical consumer devices (cellphones, tablets, PCs) as computing platforms.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Radoslav Marinov, Zhifeng Chen, and Yuriy Reznik "Real-time multi-criteria classification of facial images", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111371T (6 September 2019);

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