Retrieval Method of Large-Scale Face Database Based on Shape Space

Abstract

The invention provides a large-scale face database searching method based on a shape space, and belongs to the fields of face recognition and shape analysis. In the large-scale face database searching method based on the shape space, face characteristic points are automatically located, an image is projected to the shape space based on locations of the face characteristic points, and a geometrical structure of the image for searching in the shape space is calculated. The method comprises two parts including an offline database creation part and an online searching part. The offline database stores the geometrical structure of the face image. The online part calculates the geometrical structure of the image to be searched, and quickly searches for a matched face image in the database. The large-scale face database searching method based on the shape space provides a novel design mode for the large-scale face database searching. The large-scale face database searching method based on the shape space is compact in match information data size, and is applicable to be implemented by a distributed system. The geometrical structure of the point set in the shape space can greatly reduce the matching number, accordingly increasing the searching speed, and being applicable to applications having higher requirements to instantaneity. The large-scale face database searching method based on the shape space can effectively solve the problems that the data storage size of the large-scale face database searching is enormous and the searching takes too much time.

Description

technical field [0001] The invention belongs to the technical field of face recognition and shape analysis, in particular to a large-scale face database retrieval method based on geometric matching and tracking in shape space. Background technique [0002] Face recognition technology is a typical application in artificial intelligence with strong practical value. After decades of development, face recognition technology has moved from the laboratory to the stage of commercial application. Compared with other biometric authentication methods, face recognition Recognition technology has the advantages of low equipment cost, easy deployment and maintenance, and non-invasiveness. Therefore, in applications such as company attendance and community access control, mature commercial face recognition systems are gradually replacing fingerprints, irises, and signatures. [0003] However, due to the huge amount of information contained in the image, the existing commercial face recogn...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a large-scale face database retrieval system based on geometric matching and tracking in shape space to solve the problems of large storage capacity of face recognition technology feature description and time-consuming matching search. The present invention is based on the idea of ​​shape analysis. Automatically detect the defined face feature points on the face image to construct a compact face feature description vector, use the face feature points to project the image into the shape space, and analyze the geometric structure of the database in the shape space to achieve high efficiency match

Images