Method and system for recognizing facial feature points through face photograph

Abstract

The invention provides a method and a system for recognizing facial feature points through a face photograph. The method comprises the following steps: 1) carrying out face detection to judge whether a face exists in an input image or not, and continuously executing a step 2) if the face is detected; and 2) determining the face feature points of the face in the image. In the step 1), a face image to be determined is matched with a face template, if the face image to be determined is matched with the face template, the face image to be determined is projected into face subspace, and whether the face image to be determined is the face or not is judged through feature sub-face technology. The invention utilizes a computer scientific processing means, can recognize facial feature positions and feature points through a single front face photograph and improves face recognition accuracy.

Description

technical field [0001] The present invention relates to face recognition and restoration technology, in particular to a method and system for recognizing facial features through face photos. Background technique [0002] In today's society, various aspects such as visual surveillance, distance education and human-computer interaction technology and security are eager to perform fast and effective identity verification. Because of its own stability and diversity, biometric features have become the main means of identity verification. The human face is an extremely complex and changeable object, and it is also a typical non-rigid object. [0003] Human facial features are very rich. In addition to shape and expression, there are also the distribution of facial features. By studying the proportional relationship between these features, the degree of similarity and difference between different faces can be obtained. Compared with the use of human biometrics such as retina rec...

AI Technical Summary

Problems solved by technology

The first stage is mainly to study the facial features required for face recognition. The characteristic of this stage is that the recognition process is all dependent on the operator, and it is obvious that the automatic recognition function cannot be completed.

The second stage is mainly the human-computer interactive recognition stage. The characteristic of this stage is that it needs to use some prior knowledge of the operator and cannot get rid of human intervention.

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