Face detection
2016-08-23
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Small sample size is one of the most challenging problem-
s in face recognition due to the difficulty of sample collection in many
real-world applications. By representing the query sample as a linear
combination of training samples from all classes, the so-called collab-
orative representation based classification (CRC) shows very effective
face recognition performance with low computational cost. However, the
recognition rate of CRC will drop dramatically when the available train-
ing samples per subject are very limited. One intuitive solution to this
problem is operating
s in face recognition due to the difficulty of sample collection in many
real-world applications. By representing the query sample as a linear
combination of training samples from all classes, the so-called collab-
orative representation based classification (CRC) shows very effective
face recognition performance with low computational cost. However, the
recognition rate of CRC will drop dramatically when the available train-
ing samples per subject are very limited. One intuitive solution to this
problem is operating
matlab
检测
人脸
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