Agata Lapedriza. (2005). Face Classification using External Face Features.
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Bogdan Raducanu, & Jordi Vitria. (2005). Real-Time Face Tracking for Context-Aware Computing.
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David Masip, & Jordi Vitria. (2005). Feature Extraction for Nearest Neighbor Classification. Application to Gender Recognition. International Journal of Intelligent Systems, 20(5): 561–576 (IF: 0.657).
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David Masip. (2005). Face Classification Using Discriminative Features and Classifier Combination (Jordi Vitria, Ed.). Ph.D. thesis, , .
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Matthias S. Keil, & Jordi Vitria. (2005). Does the brain generate representations of smooth brightness gradients? A novel account for Mach bands, Chevreul’s illusion, and a variant of the Ehrenstein disk.
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Matthias S. Keil, & Jordi Vitria. (2005). Does the brain generate representations of smooth brightness gradients? A novel account for Mach bands, Chevreul’s illusion, and a variant of the Ehrenstein disk. Perception 34:209–210 Suppl. S (IF: 1.391).
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Agata Lapedriza, & Jordi Vitria. (2005). Experimental Study of the Usefulness of External Face Features for Face Classification. In Artificial Intelligence Research and Development, IOS Press, 99–106.
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David Masip, M. Bressan, & Jordi Vitria. (2005). Feature extraction methods for real-time face detection and classification. Eurasip Journal on Applied Signal Processing, 13: 2061–2071.
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David Masip, Ludmila I. Kuncheva, & Jordi Vitria. (2005). An ensemble-based method for linear feature extraction for two-class problems. Pattern Analysis and Applications, 8(3): 227–237 (IF: 0.782).
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Bogdan Raducanu, & Jordi Vitria. (2005). Real-Time Face Tracking for Context-Aware Computing. In Artificial Intelligence Research and Development, IOS Press, 91–98.
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Bogdan Raducanu, & Jordi Vitria. (2005). A Robust Particle Filter-based Face Tracker Using a Combination of Color and Geometric Information.
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David Masip, & Jordi Vitria. (2006). Boosted discriminant projections for nearest neighbor classification. Pattern Recognition, 39(2): 164–170.
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Agata Lapedriza, David Masip, & Jordi Vitria. (2006). Face Verification using External Features.
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Agata Lapedriza, David Masip, & Jordi Vitria. (2006). On the Use of External Face Features for Identity Verification. Journal of Multimedia, 1(4): 11–20, 11–20.
Abstract: In general automatic face classification applications images are captured in natural environments. In these cases, the performance is affected by variations in facial images related to illumination, pose, occlusion or expressions. Most of the existing face classification systems use only the internal features information, composed by eyes, nose and mouth, since they are more difficult to imitate. Nevertheless, nowadays a lot of applications not related to security are developed, and in these cases the information located at head, chin or ears zones (external features) can be useful to improve the current accuracies. However, the lack of a natural alignment in these areas makes difficult to extract these features applying classic Bottom-Up methods. In this paper, we propose a complete scheme based on a Top-Down reconstruction algorithm to extract external features of face images. To test our system we have performed face verification experiments using public databases, given that identity verification is a general task that has many real life applications. We have considered images uniformly illuminated, images with occlusions and images with high local changes in the illumination, and the obtained results show that the information contributed by the external features can be useful for verification purposes, specially significant when faces are partially occluded.
Keywords: Face Verification, Computer Vision, Machine Learning
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Bogdan Raducanu, & Jordi Vitria. (2006). Aprendiendo a Aprender: de Maquinas Listas a Maquinas Inteligentes.
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