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强壮的人脸识别系统,发表于cvpr2011年,程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as
a sparse linear combination of the trai
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基于肤色的人脸检测MATLAB源代码皮肤检测的最终目标是构建一个决策规则,并以此将图像中的像素划分为肤色和非肤色两类,一般通过引入一个衡量像素点颜色与“标准肤色”的距离而实现的,该距离是由相应肤色建模的方法决定的-Face detection based on skin color skin detection MATLAB source code for the ultimate goal is to build a decision-making rules, and use of the
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人脸识别的稀疏表示识别方法将稀疏表示的保真度表示为余项的L2范数,但最大似然估计理论证明这样的假设要求余项服从高斯分布,实际中这样的分布可能并不成立,特别是当测试图像中存在噪声、遮挡和伪装等异常像素,这就导致传统的保真度表达式所构造的稀疏表示模型对上述这些情况缺少足够的鲁棒性。而最大似然稀疏表示识别模型则基于最大似然估计理论,将保真度表达式改写为余项的最大似然分布函数,并将最大似然问题转化为一个加权优化问题-Recently the sparse representation (or codin
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abstract:
We present a system for interactively browsing and exploring large unstructured collections of photographs of a scene using a novel 3D interface. Our system consists of an image-based modeling front end that automatically computes the vie
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