Improvement of Face Recognition Speed Using Pose Estimation
نویسندگان
چکیده
منابع مشابه
Pose Estimation for Face Recognition using Stereo Cameras
One of the most important criterion of face recognition systems for scenarios in an uncontrolled environment and with uncooperative behavior of persons is pose robustness. The most current and successful systems capable to deal with large pose variation use 3D Morphable Models, which require a time-consuming iterative optimization procedure and hence are not suitable for real-world applications...
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We present a robust front-end pose classification/estimation procedure to be used in face recognition scenarios. A novel discriminative feature description that encodes underlying shape well and is insensitive to illumination and other common variations in facial appearance, such as skin colour etc., is proposed. Using such features we generate a pose similarity feature space (PSFS) that turns ...
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Face Recognition (FR) has a wide range of applications, such as face-based video indexing, human-computer interaction, and surveillance system. The recognition rate can reach more than 90% with the frontal face, while dealing with faces are oriented or rotated, the accuracy just achieves 40% or 50%. Hence, an algorithm is proposed in this paper to deal with the problem. The face pose is first d...
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The problem of automatic face recognition is to visually identify a person in an input image. This task is performed by matching the input face against the faces of known people in a database of faces. Most existing work in face recognition has limited the scope of the problem, however, by dealing primarily with frontal views, neutral expressions, and xed lighting conditions. To help generalize...
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In this paper, a novel multi-pose face image recognizing method is presented. In this algorithm, the face with multi-pose can be recognized by comparing it with the eigenface which is generated from 3D face model database, view point of the 3D face model is estimated from the face image, the estimation algorithm utilize the facial geometrical feature to estimate head pose parameter which can be...
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ژورنال
عنوان ژورنال: Journal of Korean Institute of Intelligent Systems
سال: 2010
ISSN: 1976-9172
DOI: 10.5391/jkiis.2010.20.5.677