A face aging method based on principal component analysis

A technology of principal component analysis and face portrait, applied in the field of image processing, can solve the problems of complex aging algorithm, lack of personality, loss of high-frequency information of face, etc., and achieve the effect of reducing data storage space, improving operation speed and simple model

Inactive Publication Date: 2019-01-04
XIAMEN UNIV
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Problems solved by technology

The disadvantage of this method is that the aging algorithm based on muscle changes is also very complicated due to the complexity of muscle changes in the aging process of the face.
However, this method has the following disadvantages: loss of high-frequency information of faces, processing everyone in the same way, and lack of personality
The disadvantage of this method is that it is difficult for the algorithm to simulate the aging problem with a large time span because the function is simple and difficult to fit large face appearance changes
The disadvantage of this method is that it is necessary to better understand the

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  • A face aging method based on principal component analysis
  • A face aging method based on principal component analysis
  • A face aging method based on principal component analysis

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Embodiment Construction

[0056] The following embodiments will further illustrate the present invention in conjunction with the accompanying drawings.

[0057] The core idea of ​​the present invention is to propose a face portrait aging method based on principal component analysis through principal component analysis technology, so as to improve the performance of the existing portrait aging method.

[0058] The steps of the embodiment of the present invention are as follows:

[0059] Step 1, change the photos in the original aging photo dataset from color images to grayscale images, and then perform sample normalization on the original aging photo dataset;

[0060] The steps of sample normalization are as follows:

[0061] The first step is to translate, rotate, and scale all the photos so that the same face parts in different images are roughly in the same position;

[0062] In the second step, all the aligned images are cropped to a size of 120×120, so that the image only contains the forehead, e...

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Abstract

The invention relates to a face portrait aging method based on principal component analysis. Firstly, photographs in an original aging photograph data set are changed from color images to gray images,then the original aging photograph data set is normalized by samples, and then the eigenvalues corresponding to each photograph are calculated by principal component analysis to obtain a photograph parameter set corresponding to the aging photograph data set. According to the age group sample, the corresponding photo parameter sets of different age groups are obtained, and the average parametersare solved. Through variance analysis of photo parameter set, the age-related eigenvalues are screened out, and then the age-related parameters in the average photo parameters of different age groupsare studied. Given the portrait to be aged, the sample is normalized first, then the normalized portrait is analyzed by principal component analysis, the corresponding eigenvalues are calculated, theage-related features are modified according to the obtained variation law, and finally the corresponding aging portrait is obtained by using principal component reconstruction strategy.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a face image aging method in the technical fields of pattern recognition and computer vision, which can be used for criminal investigation and case solving and digital entertainment. Background technique [0002] As an important branch of face aging, face portrait aging has many important practical applications, such as supporting digital entertainment and assisting the police in solving crimes. For example, aging face portraits can assist the police in finding missing children and fugitives. Due to time constraints, many sketches of lost children or fugitives need to be updated to suit the new situation. In this case, it is a good choice to update the sketch portrait through the face portrait aging algorithm. In addition, face portrait aging technology can also be used by businesses in applications such as digital entertainment. Face portrait aging can also ass...

Claims

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Application Information

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IPC IPC(8): G06F16/53G06K9/62
CPCG06V40/178G06F18/241G06F18/214
Inventor 纪荣嵘张声传
Owner XIAMEN UNIV
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