Correlation regression based face age calculating method

A calculation method and facial technology, applied in the fields of human-computer interaction and computer vision, which can solve the problems of number influence, and it is difficult to determine which estimation model is suitable for the test sample.

Inactive Publication Date: 2015-05-06
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

The advantage of this method is that the accuracy is high, and the disadvantage is that it is affected by the number of training samples, and it is difficult to determine which estimation model is suitable for the test sample.

Method used

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  • Correlation regression based face age calculating method
  • Correlation regression based face age calculating method
  • Correlation regression based face age calculating method

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Embodiment Construction

[0127] Implementation language: Matlab, C / C++

[0128] Hardware platform: Intel core2 E7400+4G DDR RAM

[0129] Software platform: Matlab2012a, VisualStdio2010

[0130] Adopt the method of the present invention, at first utilize Facetracker toolkit to extract the feature point of facial image on VisualStdio2010 platform, and record the feature point position corresponding to each image. Then use C++ or matlab programming to implement the algorithm according to the patent content, extract facial features and establish a two-layer regression relationship from facial features to age. Finally, according to the learned regression relationship, use the above code to estimate the corresponding age of the sample to be estimated.

[0131] In summary, the present invention proposes a facial age estimation algorithm based on correlation regression, which makes full use of the similarity and difference of male and female facial features and their aging process, establishes a two-layer r...

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Abstract

The invention discloses a correlation regression based face age calculating method, belongs to the technical field of computer vision and relates to a face age estimation technology. The correlation regression based face age calculating method comprises the steps of firstly extracting shaft features of acquired face images and extracting appearance features of the images subjected to illumination normalization and shape normalization, calculating accumulation attributes according to marked ages corresponding to all images, classifying the face features and the corresponding ages according to the gender of acquired persons to obtain two groups of data, establishing first-layer regression from different genders of face features to the accumulation attributes, namely correlated linear regression and calculating regression parameters, then establishing second-layer regression from estimation accumulation attributes to the ages, namely supporting vector regression and obtaining regression parameters, finally extracting the face shapes and appearance features and utilizing a correlation regression device to estimate the accumulation attributes when giving a face age image to be estimated, and utilizing the learned supporting vector regression device to calculate ages.

Description

technical field [0001] The invention belongs to the field of computer vision technology, relates to facial age estimation technology, and is mainly applied to the fields of age-based login control, age-differentiated advertisement, and age-related human-computer interaction technology. Background technique [0002] Facial age estimation technology refers to the technology of automatically estimating the age of the human body after analyzing the facial features of the human face through computer algorithms. Usually, a computer collects a face image (photo) through a camera, extracts and analyzes facial features, and automatically estimates the age corresponding to the image. Since this technology has very wide applications in age-related human interaction, age-based login control, and age-differentiated advertising, it has attracted extensive interest and attention from scholars in the field of computer vision. The existing facial age estimation algorithms can be divided int...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/54
CPCG06V40/169G06V40/178
Inventor 潘力立
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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