. "A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking"@en . "6"^^ . . . . "P(GBP103/12/G084), P(LL1303)" . "A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking" . "Franc, Vojt\u011Bch" . . . "21230" . "A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking"@en . "\u010Cech, Jan" . "A real-time algorithm for accurate localization of facial landmarks in a single monocular image is proposed. The algorithm is formulated as an optimization problem, in which the sum of responses of local classifiers is maximized with respect to the camera pose by fit ting a generic (not a person specific) 3D model. The algorithm simultaneously estimates a head position and orientation and detects the facial landmarks in the image. Despite being local, we show that the basin of attraction is large to the extent it can be initialized by a scannin g window face detector. Other experiments on standard datasets demonstrate that the proposed a lgorithm outperforms a state-of-the-art landmark detector especially for non-frontal face imag es, and that it is capable of reliable and stable tracking for large set of viewing angles."@en . . "3"^^ . "Matas, Ji\u0159\u00ED" . . "face; facial landmarks; 3D model; detection; tracking; SVM; optimization"@en . "Proc. of 22nd International Conference on Pattern Recognition" . . . "Los Alamitos" . . . . "A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking" . "3"^^ . "10.1109/ICPR.2014.378" . "RIV/68407700:21230/14:00223248!RIV15-MSM-21230___" . . "1051-4651" . "IEEE Computer Society Press" . . "http://dx.doi.org/10.1109/ICPR.2014.378" . . "2014-08-24+02:00"^^ . "A real-time algorithm for accurate localization of facial landmarks in a single monocular image is proposed. The algorithm is formulated as an optimization problem, in which the sum of responses of local classifiers is maximized with respect to the camera pose by fit ting a generic (not a person specific) 3D model. The algorithm simultaneously estimates a head position and orientation and detects the facial landmarks in the image. Despite being local, we show that the basin of attraction is large to the extent it can be initialized by a scannin g window face detector. Other experiments on standard datasets demonstrate that the proposed a lgorithm outperforms a state-of-the-art landmark detector especially for non-frontal face imag es, and that it is capable of reliable and stable tracking for large set of viewing angles." . . "[4328FF74661A]" . "978-1-4799-5208-3" . . . "1295" . . . . "Stockholm" . "RIV/68407700:21230/14:00223248" . .