Human face identification method and device based on matching pursuit algorithm
A face recognition and matching tracking technology, applied in the field of image recognition, can solve the problems of large number of iterations and calculation, easy to be affected by light, and low recognition efficiency.
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[0053] The specific embodiments of the present invention will be described in further detail below in conjunction with the drawings and embodiments. The following examples are used to illustrate the present invention, but not to limit the scope of the present invention.
[0054] In practical applications, there is often noise or occlusion in the face image. Considering this situation, the model is established as:
[0055] y=y 0 +e 0 =Ax 0 +e 0 (1-1)
[0056] Where e 0 ∈R M Is an error vector, R M Is the error matrix, its dimension is the same as Ax 0 Consistent, y 0 Represents the face image in the absence of noise or occlusion, x 0 Table sparsity factor.
[0057] In the face image, the noise and occlusion are only a small part, therefore, it can be considered that e 0 The non-zero elements are only a small part. Let the proportion of non-zero elements be P, that is, the proportion of noise or occlusion in an image. Since the position of the occluded part changes with the test image...
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