Method for recognizing human face from commercial human face database based on gridding computing technology

Abstract

The invention relates to a face recognition method of large scale face database based on grid computing technology and pertains to the field of grid computing and pattern recognition. The invention draws lessons from the policy of distributed processing of grid to construct a face recognition grid architecture with hierarchical tree structure, which is formed by three layers: a highest layer, a middle layer and a lowest layer. The highest layer realizes task receiving and task decomposition of face recognition, the middle layer realizes the division of large scale face database and sub-task decomposition and the lowest layer identifies face by using computing resources. In order to improve the accuracy of face recognition, the lowest layer of the invention adopts a multi-algorithm face recognition strategy. The method of the invention provides a new solution to the face recognition of large scale face database, meanwhile, the multi-algorithm can well overcome the effect of factors such as pose, illumination, expression, ornaments, background and time span on face recognition.

Description

technical field The invention belongs to the technical field of grid computing and pattern recognition, and in particular relates to a large-scale face database face recognition method based on grid computing technology. Background technique The research work on face recognition has experienced nearly half a century of development since it started in the 1960s, and has become one of the most popular research contents in the field of image analysis and understanding. Especially since the 1990s, face recognition technology has developed rapidly, and the emergence of a large number of high-performance recognition algorithms has fully prepared for its practical application; The prototype system is moving towards commercial use. However, so far, face recognition technology still faces great challenges in practical applications: (1) Changes in pose, illumination, expression, ornaments, background, time span and other factors in face images have great impact on face recognition al...

AI Technical Summary

Problems solved by technology

The purpose of the present invention is to propose a large-scale human face database face recognition method based on grid computing technology, using grid computing technology to solve the time-consuming calculation in large-scale human face database face recognition, and due to posture, illumination, expression Changes in factors such as decorations, backgrounds, and time spans reduce the recognition accuracy, etc.

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