Human face recognition method and device based on tensor description

Abstract

The invention discloses a human face recognition method and device based on tensor description. Firstly, similarity learning is conducted on image samples with labels and samples to be classified and without labels, and similar adjacent figures and normalized weights are configured to represent sample similarity; secondly, a category label matrix is initialized manually; thirdly, to effectively achieve direct induction of human face images outside samples, a regularization term capable of conducting direct induction on the images outside the samples and based on the tensor description is integrated into an existing label propagation model; finally, system modeling is finished through influences of parameter weighing similarity measuring, initial category labels and the regularization term based on the matrix pattern on the human face recognition; the maximum value of the probability of similarity in system output is taken to be used for conducting category identification of the human face images, and the most accurate system recognition result is obtained. By introducing the concept of tensor description, the topological structures among image pixels can be effectively maintained in the induction process of the human face images outside the samples, and the system expansibility is good.

Description

technical field [0001] The invention relates to the technical fields of machine learning, pattern recognition and data mining, in particular to a face recognition method and device based on tensor description. Background technique [0002] In the past few decades, face recognition technology has become a very popular research topic in computer vision. In recent years, face recognition technology has developed rapidly, and many devices have been put into use and have produced huge social and economic benefits. Face recognition methods mainly include geometric feature recognition, eigenface-based recognition, neural network recognition and support vector machine recognition, etc., while label propagation technology is still rarely used in the field of face recognition. [0003] Label propagation is a semi-supervised learning method based on similarity graph construction. Among many semi-supervised learning methods, label propagation method has attracted widespread attention b...

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention provides a face recognition method and device based on tensor description to solve the problem that the vector space model in the prior art will destroy the topological structure between image pixels, resulting in reduced recognition accuracy and model training and prediction processes. Highly complex technical issues

Images