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Human face automatic identifying method based on data flow shape

An automatic recognition and face recognition technology, applied in the field of unsupervised and semi-supervised automatic face recognition

Active Publication Date: 2007-06-27
北京海鑫科金高科技股份有限公司
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Problems solved by technology

Combining transductive inference-based learning with face recognition has not been addressed in the existing techniques

Method used

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  • Human face automatic identifying method based on data flow shape
  • Human face automatic identifying method based on data flow shape
  • Human face automatic identifying method based on data flow shape

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Embodiment Construction

[0034] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0035] Fig. 1 is a system work flowchart of the present invention. First determine whether the face sample has a label; if so, calculate the k-nearest neighbor of each sample, then calculate the linear neighbor reconstruction coefficient of each sample, then calculate the label of the unlabeled sample in the training set, and finally calculate the recognized The label of the sample; if not, construct the normalized similarity matrix of the sample, obtain the spectral feature of each training sample, obtain the spectral feature of the identified sample, and obtain the label of the identified sample by the nearest neighbor method.

[0036] One embodiment of the present invention has provided the method for calculating people's facial features:

[0037] Any face image can be regarded as a two-dimensional data matrix, and each element of the ma...

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Abstract

This invention has provided an automatic identification method for human face, basing on the shape of data stream; it identifies the unknown human face sample by non-supervision or hemi-supervision method, and using the non-linear structure information of the data of human face. It will carry out the non-supervision identification by extracting the spectrum characters of human face, when any label information can't be gained. And it will carry out hemi-supervision identification for human face by the method to reset the labels among the linear neighbor, when only a part of information of human face label information can be gained.

Description

technical field [0001] The invention relates to a two-dimensional human face automatic recognition method, in particular to a non-supervised and semi-supervised human face automatic recognition method based on human face data manifold. Background technique [0002] Face recognition refers to predicting the identity of a new face through existing face data. In recent years, face recognition has become a major direction of biometric recognition technology due to its potential use in military, police and civilian applications. Compared with other biometrics, face recognition has many advantages such as proactiveness, non-invasiveness and user-friendliness. Most of today's mainstream face recognition technologies are based on subspace methods, but the accuracy of these methods is greatly limited due to the influence of illumination, posture, and expression changes. So far, the establishment of a robust face recognition The system is still a very difficult problem. [0003] In...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 刘晓春陆乃将张长水
Owner 北京海鑫科金高科技股份有限公司
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