Face image processing method based on contour method

Abstract

The invention relates to a face processing method, in particular to a face image processing method based on a contour method, and aims to provide an effective and rapid face recognition algorithm. The invention discloses a contour line-based face image processing method. The method comprises the following steps: changing a face model into a two-dimensional curve graph which is easy to process through a contour line extraction method; extracting a corresponding algorithm based on the curve graph; realizing the fact that the three-dimensional face model is an uneven curved surface through a feature extraction algorithm and a recognition analysis algorithm. The invention discloses a face image processing method based on a contour method. Comprising the steps of obtaining a standard image, selecting an AI confrontation type, performing software equal-height processing, performing manual optimization and modification, printing color on a layer, performing full-automatic cutting, positioning the layer, fixing the layer and performing automatic adjustment. The invention provides a face recognition algorithm realized by extracting feature information by using a contour map of a three-dimensional face, so that the accuracy and speed of face image recognition are greatly improved.

Description

technical field [0001] The invention relates to a face processing method, in particular to a face image processing method based on a contour line method. Background technique [0002] At present, the main biometric recognition technologies include iris recognition, retina recognition, face recognition, signature recognition, voice recognition, fingerprint recognition and so on. Portrait recognition is to collect the facial features and information of people. For the displayed facial image, first detect whether there is a portrait in the shooting lens. If a portrait is detected, the position, shape and coordinates of each facial organ are further given. , shape and other information. After the processor extracts the information, it compares it to known facial features to identify the user. It includes three main contents: portrait acquisition, portrait recognition, and portrait feature comparison. [0003] With the continuous development of the information society, the tra...

AI Technical Summary

Problems solved by technology

[0003] With the continuous development of the information society, the traditional face analysis methods based on two-dimensional images face many difficulties. These difficulties include: posture, illumination and expression problems, effective feature extraction methods, massive data and dimension disasters, etc., making people The accuracy of face image recognition is low and the speed is slow, so the present invention proposes a face image processing method based on the contour line method. The three-dimensional face can effectively solve the problem of lack of two-dimensional image information, and more accurately describe Facial features, and some features extracted have rigid body transformation invariance, and are not easily affected by posture and illumination, so it has received more and more attention from researchers.

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