抓住他投降 发表于 2025-3-26 23:27:30
http://reply.papertrans.cn/19/1882/188179/188179_31.png重叠 发表于 2025-3-27 01:41:56
http://reply.papertrans.cn/19/1882/188179/188179_32.pnghomeostasis 发表于 2025-3-27 08:52:33
http://reply.papertrans.cn/19/1882/188179/188179_33.pngInfect 发表于 2025-3-27 12:00:25
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.树木中 发表于 2025-3-27 16:23:56
http://reply.papertrans.cn/19/1882/188179/188179_35.png古董 发表于 2025-3-27 17:49:15
http://reply.papertrans.cn/19/1882/188179/188179_36.png错 发表于 2025-3-27 23:39:43
http://reply.papertrans.cn/19/1882/188179/188179_37.png洁净 发表于 2025-3-28 03:43:45
http://reply.papertrans.cn/19/1882/188179/188179_38.png动机 发表于 2025-3-28 06:49:37
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.BRACE 发表于 2025-3-28 13:24:31
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.