Melthod for realizing searching new position of person's face feature point by tow-dimensional profile

Abstract

The invention is a method for searching new positions of human face feature points by 2D outline in the field of image processing technique, comprising the steps of: (1) making human face detection on the given image and obtaining position coordinates of a human face region; (2) locating two eyes in the found human face region to find their positions; (3) calculating the coordinates of the midpoint of the two eyes, the distance between them, and the angle of the connection line of them; (5) making affine transformation on initial position of ASM model to obtain an initial model; (6) using the initial model as an initial position of ASM search and using 2D outline to make feature point location. It can be further applied to human face recognition, sex recognition, expression recognition, age estimation and other aspects and has higher accuracy.

Description

technical field

[0001] The invention relates to a method in the technical field of image processing, in particular to a method for searching new positions of facial feature points by using two-dimensional contours. Background technique

[0002] As an important branch of biometric recognition, face recognition has received more and more attention. In the past ten years, a lot of research results have been achieved in this field, some of which have been applied to real life, such as face detection, face recognition etc., while the location of facial feature points is the core technology in face recognition, and the accuracy of feature point location directly affects the accuracy of recognition. Therefore, accurately locating a large number of facial feature points can greatly improve the accuracy of recognition. The existing face feature location methods are mainly divided into two categories: one is the local feature location method, and the other is the global feature point...

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