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.

Active Publication Date: 2017-01-04
LUDONG UNIVERSITY
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Problems solved by technology

[0004] Existing face recognition methods such as using the sparsity adaptive matching and pursuit algorithm for face recognition, the recognition rate of this method is not much different

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  • Human face identification method and device based on matching pursuit algorithm
  • Human face identification method and device based on matching pursuit algorithm
  • Human face identification method and device based on matching pursuit algorithm

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Embodiment Construction

[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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Abstract

The invention discloses a human face identification method and device based on a matching pursuit algorithm. The method comprises the following steps: S1, normalizing all columns of a preliminarily established dictionary matrix to L<1> norms of a unit; S2, carrying out characteristic extraction on a to-be-detected image, and establishing a to-be-detected image model as shown in the specification; S3, solving the to-be-detected image model as shown in the specification by adopting a KRSAMP method; S4, according to a value of a w0, calculating a residual ri(y) as shown in the specification between the to-be-detected image and a sample of the dictionary matrix; and S5, finding a category corresponding to a minimum value of the residual as the category of the to-be-detected image. According to the human face identification method and device based on the improved matching pursuit algorithm disclosed by the invention, the screening of atoms is carried out via an incremental gradient ascent method, so the calculating speed is accelerated.

Description

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Claims

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Application Information

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Owner LUDONG UNIVERSITY
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