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Titlebook: Biometric Recognition; 8th Chinese Conferen Zhenan Sun,Shiguan Shan,YiLong Yin Conference proceedings 2013 Springer International Publishin

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樓主: GERM
31#
發(fā)表于 2025-3-26 23:27:30 | 只看該作者
32#
發(fā)表于 2025-3-27 01:41:56 | 只看該作者
33#
發(fā)表于 2025-3-27 08:52:33 | 只看該作者
34#
發(fā)表于 2025-3-27 12:00:25 | 只看該作者
Face Recognition Based on Adaptive Soft Histogram Local Binary Patternscision boundaries with the aim to improve recognition accuracy. Experiments on the CMU-PIE database show that?ASLBP outperforms LBP and?SLBP. Although ASLBP is designed to increase the performance of?SLBP, the proposed learning process can be generalized to other LBP variants.
35#
發(fā)表于 2025-3-27 16:23:56 | 只看該作者
36#
發(fā)表于 2025-3-27 17:49:15 | 只看該作者
37#
發(fā)表于 2025-3-27 23:39:43 | 只看該作者
38#
發(fā)表于 2025-3-28 03:43:45 | 只看該作者
39#
發(fā)表于 2025-3-28 06:49:37 | 只看該作者
A Method for Efficient and Robust Facial Features Localizationthird contribution is a method for localizing facial feature points of an unknown image in a new iterative manner, which makes the algorithm robust to initial location. Extensive experiments over images with obvious pose, expression and illumination changes have shown the accuracy and efficiency of our method.
40#
發(fā)表于 2025-3-28 13:24:31 | 只看該作者
Two-Dimensional Color Uncorrelated Principal Component Analysis for Feature Extraction with Applicatoperty between color-based features in theory. This makes it sure that the extracted features directly from three color image matrices will be uncorrelated. Finally, experimental results on the AR and FRGC-2 color face databases show that 2DCUPCA achieves better recognition performance than other color face recognition methods.
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