Semi-supervised age estimation device based on faces and semi-supervised age estimation method based on faces

A semi-supervised, face technology, applied in computing, computer parts, instruments, etc., can solve the problem of age-tagged face pictures in face pictures, and achieve the effect of good age estimation accuracy

Active Publication Date: 2016-06-15
SOUTHEAST UNIV
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Problems solved by technology

[0004] The above method can estimate the age of face pictures more accurately, but the face pictures used in its training can only be face pictures with age marks

Method used

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  • Semi-supervised age estimation device based on faces and semi-supervised age estimation method based on faces
  • Semi-supervised age estimation device based on faces and semi-supervised age estimation method based on faces
  • Semi-supervised age estimation device based on faces and semi-supervised age estimation method based on faces

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Embodiment Construction

[0019] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0020] The semi-supervised human face age estimation method of the present invention includes two stages: the training stage of the estimation model and the age estimation stage. Among them, the estimation model is trained as figure 2 As shown, it specifically includes the following steps:

[0021] Step 1, obtain face picture data set, and carry out image feature extraction to each face picture wherein; Described face picture data set comprises a group of age-marked face pictures and a group of age-free face pictures .

[0022] The face picture data set used for model training in the present invention includes both face pictures with age marks and face pictures without age marks, so that the scale of the face picture data set can be greatly expanded, and a large number of easy-to-obtain unlimited data sets can be fully utilized. Age-tagged images of...

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Abstract

The invention discloses a semi-supervised age estimation method based on faces. A training method of the device comprises following steps: S1. obtaining face image data set and extracting image features; S2. performing age distribution initialization to each of age-labeled face images and using the images as a training set; S3. performing training to a LBFGS-LLD model by use of a current training set and performing age distribution prediction to all images; S4. calculating pseudo ages of face images without age labels; S5. grouping all the images by age, optimizing and solving variances corresponding to all age groups, and updating the age distributions of face images in corresponding age groups by use of the obtained variances; S6. using the updated images as a new training set and turning to S3 until a iteration termination condition being satisfied. The invention also discloses a semi-supervised age estimation method based on faces on the basis of the device. According to the device and method, only a few age-labeled face images are needed and in combination with more non-age-labeled face images, better age estimation precision is obtained.

Description

technical field [0001] The invention relates to a human face age estimation device, in particular to a semi-supervised human face age estimation device and a semi-supervised human face age estimation method, which belong to the technical field of machine learning and pattern recognition. Background technique [0002] Age is one of the important attributes of people, and people's behavior and preferences are different in different age groups, which indicates that accurate age estimation will have a very important application prospect. At present, many age-related applications, such as human-computer interaction, electronic customer relationship management, security management, monitoring and monitoring, etc., have been greatly developed. Among the many age estimation methods, face-based age estimation may be the most commonly used in daily life. [0003] A Chinese invention patent (CN102567719) discloses a "human age automatic estimation method based on the posterior probabi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06V40/178G06V40/172G06F18/2413
Inventor 耿新侯鹏
Owner SOUTHEAST UNIV
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