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Facial caricatures are informative funny images that allow us to identify a subject even with a few lines and dots. Matching caricatures to photographs is a challenging cross-modal face matching problem. This paper addresses this problem by defining a set of qualitative face features both for caricatures and photographs where features are automatic...
This paper introduces a publicly available caricature-photograph database and some facial attribute based matching approach to foster research in caricature recognition. The proposed database consist of 200 caricatures and corresponding photomates. Our facial attribute based matching approach defines 32 qualitative features (i.e., gender, hair colo...
Human beings tends to see face-like images as faces. In this study, a new face-looking database is created and an automatic method which recognizes such face-looking images as faces, has been developed. The average success rate of the algorithm is 57%.
In this paper an eye localization algorithm which uses elliptical Gabor filters and local minima to detect eye pupils on a face image is proposed. First, face is detected in a given image. Then this face image is converted into gray-scale. Finally eye pupils are localized using elliptical Gabor filters and local minimum points. The method is tested...
In this paper, a feature combining method which can be used in gender classification has been proposed. This method is based on examinating the importance of the pixel regions on face images. In this study, after the analysing commonly used three feature extraction methods (Local binary patterns, discrete cosine transform, histogram of oriented gra...
Automatic facial landmarking is an important problem in face recognition, identification and classification applications. Active Shape Model (ASM) and its derivatives have become increasingly popular and used intensively for automatic facial landmarking. However, since their performances are highly dependent on initialization, illumination conditio...