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Titlebook: Audio- and Video-Based Biometric Person Authentication; Third International Josef Bigun,Fabrizio Smeraldi Conference proceedings 2001 Spri

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發(fā)表于 2025-3-25 06:35:54 | 只看該作者
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發(fā)表于 2025-3-25 12:36:39 | 只看該作者
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發(fā)表于 2025-3-25 16:57:16 | 只看該作者
https://doi.org/10.1007/978-1-84628-671-1ion. Our method is based on the use of color and texture for searching skin-like regions in the images. This is accomplished with connected component analysis in adaptatively thresholded images. Multiple candidate regions appear, so determining whether each one corresponds or not to a face, solves t
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發(fā)表于 2025-3-25 20:44:52 | 只看該作者
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發(fā)表于 2025-3-26 04:02:28 | 只看該作者
https://doi.org/10.1007/978-1-84628-671-1oor environment. The complete system contains two parts: the face locator and the face tracker. We will only describe the face locator. Face hypothesis are obtained combining a pyramidal greylevel template matching and a geometrical measure based on the facial feature organization. Classification to
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發(fā)表于 2025-3-26 05:11:08 | 只看該作者
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發(fā)表于 2025-3-26 10:29:00 | 只看該作者
https://doi.org/10.1007/3-540-45344-X3D; Access Control; Audio; Authentication; Biometric Person Authentication; Face Recognition; Fingerprints
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發(fā)表于 2025-3-26 13:28:58 | 只看該作者
978-3-540-42216-7Springer-Verlag Berlin Heidelberg 2001
30#
發(fā)表于 2025-3-26 19:27:51 | 只看該作者
Face Identification and Verification via ECOChe training phase the client set is repeatedly divided into two ECOC specified sub-sets (super-classes) to train a set of binary classifiers. The output of the classifiers defines the ECOC feature space, in which it is easier to separate transformed patterns representing clients and impostors. As a
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