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...

AI Technical Summary

Problems solved by technology

[0003] After searching the prior art documents, it is found that in Chapter 7 "Model-based Methods in Analysis of Biomedical Images" of "Image Processing and Analysis" ("Image Processing and Analysis") ") on pages 223 to 248 (the book was published by Oxford University Press in 2001) introduces the ASM method proposed by T.F.Cootes et al. In this method, when searching for new positions of feature points, the search range is limited to the vertical On the one-dimensional contour in the direction of the line connecting the two feature points before and after, but the actual situation is that the real new position of the feature point is not necessarily on the contour, which brings a certain error to the search results. If each If the feature points encounter this situation when searching for a new position, then the error in the positioning of the feature points of the entire face will be very large, which is unacceptable

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