HPA533 发表于 2025-3-30 09:21:41
http://reply.papertrans.cn/19/1882/188171/188171_51.png入伍仪式 发表于 2025-3-30 13:33:49
Binary Classifiers and Radial Symmetry Transform for Fast and Accurate Eye Localization is employed to identify the real eyes from the reliable eye candidates. A large number of tests have been completed to verify the performance of the proposed algorithm. Experimental results demonstrate that the algorithm proposed in this article is robust and efficient.Intersect 发表于 2025-3-30 16:49:06
Extended Robust Cascaded Pose Regression for Face Alignment-level boosted regression are applied to establish accurate relation between features and shapes. Experiments on two challenging face datasets (LFPW, COFW) show that our proposed approach significantly outperforms the state-of-art in terms of both efficiency and accuracy.寡头政治 发表于 2025-3-30 23:46:31
http://reply.papertrans.cn/19/1882/188171/188171_54.pngGleason-score 发表于 2025-3-31 02:01:52
http://reply.papertrans.cn/19/1882/188171/188171_55.pnginduct 发表于 2025-3-31 05:55:10
0302-9743 iometrics; Affective Computing; Feature Extraction and Classification Theory; Anti-Spoofing and Privacy; Surveillance; and DNA and Emerging Biometrics..978-3-319-46653-8978-3-319-46654-5Series ISSN 0302-9743 Series E-ISSN 1611-3349incredulity 发表于 2025-3-31 11:18:20
Muhammad Hasan Amara,Abd Al-Rahman Mar’Imprehensive set of candidate regions. In the latter, we further decide whether the regions are faces using a well-trained Faster R-CNN. Experiments are conducted on the WIDER FACE benchmark, and the results clearly prove the competency of the proposed method at detecting occluded faces.LITHE 发表于 2025-3-31 16:32:34
http://reply.papertrans.cn/19/1882/188171/188171_58.png表主动 发表于 2025-3-31 19:15:46
http://reply.papertrans.cn/19/1882/188171/188171_59.png慢跑鞋 发表于 2025-4-1 00:57:32
https://doi.org/10.1007/978-3-030-74958-3cted by an effective post-processing method. We evaluate the proposed method by performing semi-supervised classification experiments on ORL, Extended Yale B and AR face database. The experimental results show that our approach improves the accuracy of semi-supervised learning and achieves the state-of-the-art performance.