Description: dct二维离散余弦变换 里面采用了经典的美人人脸识别图片，为自动加载
，用DCT法后能统计使用时间，也用了FDCT法，明显速度优于DCT.-two-dimensional discrete cosine transform DCT inside a classic beauty face recognition picture, in order to automatically load, using DCT method to use after the statistical time spent FDCT law, obviously the speed is better than DCT. Platform: |
Size: 128000 |
Author:沧海客 |
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Description: High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches. Platform: |
Size: 25600 |
Author:mhm |
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Description: 基于MATLAB的人脸识别算法，使用2D-DCT,自组织算法以及离散余弦变换-A MATLAB based Face Recognition System using
Image Processing and Neural Networks Platform: |
Size: 558080 |
Author:LIXUE |
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Description: 提出了一种基于DCT提取人脸特征技术和支持向量机分类模型的人脸识别方法。利用离
散余弦变换可提取人脸可识别的大部分信息,而支持向量机作为分类器,在处理小样本、高维数等
方面具有独特的优势,且泛化能力很强,无需先验知识。从ORL 人脸库上的实验结果可以看出,
DCT特征提取是很有效的,且SVM的分类性能优于最近邻分类器,同时提高了整个系统的运算速
度。-A face recognition method based on DCT for face feature extraction and support vector machine classification model. Can extract most of the information face recognition using discrete cosine transform and support vector machine as classifier, has unique advantages in dealing with small sample, high dimension and generalization ability, without prior knowledge. As can be seen from the experimental results on the ORL database DCT feature extraction is very effective, and the SVM classification performance better than the nearest neighbor classifier, while increasing the speed of operation of the entire system. Platform: |
Size: 354304 |
Author:罗朝辉 |
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Description: 基于DCT人脸识别算法代码，运行环境是在MATLAB中-A MATLAB based Face Recognition System using
Image Processing and Neural Networks Platform: |
Size: 37888 |
Author:藏锋 |
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Search - face recognition using dct