An Improved Compressed Sensing Face Recognition Method
A face recognition and compressive sensing technology, applied in the field of improved compressive sensing face recognition, can solve the problems of complex calculation, slow calculation speed and huge calculation amount of the minimum norm solution, so as to achieve the preservation of local texture characteristics and increase the calculation speed. , the effect of good statistical similarity
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[0037] The present invention will be described in detail below in conjunction with the drawings:
[0038] 1. Local Binary Pattern (LBP) coding principle
[0039] Usually a pair of values (P, R) is used to describe (x c ,y c ) Is the center and R is the radius of the local circular neighborhood, such as figure 1 Shown. Use g c Indicates the gray value of the center pixel, g p (p=0,...,P-1) represents the gray value of P adjacent pixels distributed at equal intervals on the circumference. Assuming that the coordinates of the central pixel are (0,0), the coordinates of the neighboring pixels (x p ,y p ) Is (-R sin(2πp / P), Rcos(2πp / P)). If (x p ,y p ) Does not fall on the pixel point, use bilinear interpolation to calculate the gray value g of the point p . Different combinations of P and R values describe different LBP descriptors.
[0040] The LBP algorithm uses structured thinking to analyze the texture features of the image in a fixed window. The gray value of the center pix...
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