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Titlebook: Biometric Recognition; 9th Chinese Conferen Zhenan Sun,Shiguang Shan,Weiqi Yuan Conference proceedings 2014 Springer International Publishi

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樓主: Callow
21#
發(fā)表于 2025-3-25 05:53:29 | 只看該作者
History of Glottogonic Theoriesmeters and optimal projection matrix. The proposed CIS approach is used for face recognition and compared with some existing methods, such as LDA, UDP and APD methods. Experimental results on the ORL and FERET databases show the superior performance of the proposed algorithm.
22#
發(fā)表于 2025-3-25 11:32:09 | 只看該作者
23#
發(fā)表于 2025-3-25 15:31:56 | 只看該作者
Andrea Camperio Ciani,Brunetto Chiarelliased on the linear combination coefficients of non-local image patches is the same regardless of image resolutions inspired by the learning-based face SR method. Experimental results show that the proposed VLR face recognition method is high in recognition accuracy and robust in resolution variations.
24#
發(fā)表于 2025-3-25 19:06:09 | 只看該作者
25#
發(fā)表于 2025-3-25 23:53:30 | 只看該作者
Winifred V. Davies,Evelyn Zieglery thorough analysis of the existing models. The FFPs are mapped to the protocol model with 7 different algorithms. As a result, we obtain a large face database of 70 FFPs labeled with various gender, ethnicity, age and expressions. This new database can be widely used in other relevant researches.
26#
發(fā)表于 2025-3-26 03:27:48 | 只看該作者
27#
發(fā)表于 2025-3-26 07:54:34 | 只看該作者
Pure Face Extraction from 3D Point Cloud Using Random Forest Skin Classificationes in the obtained skin point cloud, which mainly correspond to eyes, mouth, moustache, etc. We propose an approach based on nearest neighbor search method to fulfill the holes. Experiments show that the proposed approach can extract pure faces with different sizes, poses and expressions under various illumination conditions.
28#
發(fā)表于 2025-3-26 09:46:35 | 只看該作者
29#
發(fā)表于 2025-3-26 13:29:08 | 只看該作者
A Novel Face Recognition Method Using Vector Projectioned in favor of the maximum combination projection length. The performance of the proposed VPC approach is evaluated using two standard face databases; a comparative study with the state-of-the-art approaches illustrates the efficacy of the proposed VPC approach.
30#
發(fā)表于 2025-3-26 20:32:42 | 只看該作者
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