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Titlebook: Biometric Authentication; First International Virginio Cantoni,Dimo Dimov,Massimo Tistarelli Conference proceedings 2014 Springer Internat

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41#
發(fā)表于 2025-3-28 15:08:45 | 只看該作者
Facial Expression Classification Using Supervised Descent Method Combined With PCA and SVMse data as an input to Support Vector Machine (SVM) classifier. The experimental results show improvement of the recognition rate in comparison to some state-of-the-art facial expression recognition techniques.
42#
發(fā)表于 2025-3-28 22:31:59 | 只看該作者
0302-9743 analysis; speech recognition; 3D ear recognition; face and facial attributes analysis; handwriting and signature recognition; and multimodal and soft biometrics.978-3-319-13385-0978-3-319-13386-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
43#
發(fā)表于 2025-3-28 23:50:39 | 只看該作者
44#
發(fā)表于 2025-3-29 04:34:48 | 只看該作者
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發(fā)表于 2025-3-29 07:17:28 | 只看該作者
46#
發(fā)表于 2025-3-29 14:08:12 | 只看該作者
47#
發(fā)表于 2025-3-29 18:34:05 | 只看該作者
48#
發(fā)表于 2025-3-29 20:22:39 | 只看該作者
3D Ear Analysis by an EGI Representationly convex. In this connection, the matching potential for ear discrimination can be effectively exploited through an Extended Gaussian Image (EGI) representation. The original EGI representation and its correspondent concrete data-structure are here applied to ear description and discussed for human authentication and identification purposes.
49#
發(fā)表于 2025-3-29 23:56:45 | 只看該作者
Conference proceedings 2014 in June 2014. The 16 full papers presented in this volume were carefully reviewed and selected from 21 submissions. Additionally, this volume also contains 5 invited papers. The papers cover a range of topics in the field gait and behaviour analysis; iris analysis; speech recognition; 3D ear recogn
50#
發(fā)表于 2025-3-30 07:07:01 | 只看該作者
https://doi.org/10.1007/978-94-007-6476-7thout performing any foreground/background segmentation. The proposed method has been designed as a component of a more general system aimed at human interaction analysis. It has been tested on a wide set of color video sequences and the very promising results show its high potential.
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