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Facial Feature Points Extraction
2009 Fifth International Conference on Image and Graphics, 2009Precise facial feature points extraction is essential to the high-level face recognition and expression analysis. This paper presents a method which uses Active Appearance Models with Inverse Compositional Lucas-Kanade Image Alignment algorithm for facial feature points extraction.
Shaojun Zhu, Jieyu Zhao
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Automatic Facial Features Localization
International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), 2005Facial features localization is an important part of many applications such as face recognition, computer-human interface, and surveillance. A way to determine the facial features automatically, without the participation of a human, would be desirable. In this work, we use the active shape models and evolution strategies, to find the facial features in
V. Zanella, H. Vargas, L.V. Rosas
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Robust Facial Feature Tracking
Procedings of the British Machine Vision Conference 2000, 2000We present a robust technique for tracking a set of pre-determined points on a human face. To achieve robustness, the Kanade-Lucas-Tomasi point tracker is extended and specialised to work on facial features by embedding knowledge about the configuration and visual characteristics of the face.
F Bourel, C Chibelushi, A Low
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Facial features for identification
SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166), 2002A person identification system is presented in this paper. The system exploits the localised self-similarity in face images in order to develop an identification method. The identification method is insensitive to partial image variations that are due to translation, rotation or scale.
A.Z. Kouzani, S. Nahavandi
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Adaptive facial feature extraction
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014We present a method which is able to adapt from a generic facial representation to a person-specific model of a face. It is referred to as Adaptive Constrained Polynomial Trees (ACPT). Especially in vehicle driving scenarios, special assumptions can be made.
Töniges, Torben, Kummert, Franz
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Live facial feature extraction
Science in China Series F: Information Sciences, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Evolutionary facial feature selection
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation, 2008With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive identification searches by matching with entire biometric feature sets become computationally unmanageable.
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Face verification through tracking facial features
Journal of the Optical Society of America A, 2001We propose an algorithm for face verification through tracking facial features by using sequential importance sampling. Specifically, we first formulate tracking as a Bayesian inference problem and propose to use Markov chain Monte Carlo techniques for obtaining an empirical solution.
B, Li, R, Chellappa
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AUTOMATIC FACIAL FEATURE EXTRACTION
2006Facial feature extraction is necessary for identification of an individual face on a computer. We propose an automatic facial feature extraction method that is robust in conditions of an input image. As facial features, the shape of facial parts is automatically extracted from a frontal face image. We experiment with input images of several resolutions
Mie Sato, Hitomi Murakami, Masao Kasuga
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Robust facial feature localization by coupled features
Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), 2002We consider the problem of robust localization of faces and some of their facial features. The task arises, e.g., in the medical field of visual analysis of facial paresis. We detect faces and facial features by means of appropriate DCT coefficients that we obtain by neatly using the coding capabilities of a JPEG hardware compressor.
M. Zobel +4 more
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