Method for positioning characteristic points in facial image

A positioning method and facial image technology, applied in the field of signal processing, can solve the problems of initial position sensitivity and large illumination influence

Inactive Publication Date: 2013-12-11
DALIAN UNIV OF TECH
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Problems solved by technology

The feature point positioning method based on active shape models (ActiveShapeModels, ASM) is a global positioning method. It can locate multiple feature points on the fa

Method used

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  • Method for positioning characteristic points in facial image
  • Method for positioning characteristic points in facial image
  • Method for positioning characteristic points in facial image

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Embodiment Construction

[0022] Using a statistics-based ASM model, the model is divided into two phases: the model training phase and the image search phase. In the model training stage, a sufficient number of normal face images and face images under different illuminations are selected as the training set, the accurate feature point position of each training image is manually calibrated, and the active shape model and local texture model are established. In the image search stage, the accurate pupil position of the target image is first determined to initialize the initial position of the active shape model, and then the model is fit to the accurate target feature point position through iteration. Technical solution functional block diagram of the present invention is as figure 1 shown.

[0023] (1) Active shape model

[0024] The active shape model (ActiveShapeModel, ASM) was proposed by Cootes of the University of Manchester in 1994. It is similar to the active contour model (ActiveContourModel...

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Abstract

The invention discloses a method for positioning characteristic points in a facial image and belongs to the technical field of signal processing. The method for positioning the characteristic points in the facial image comprises a model training stage and an image searching stage. At the model training stage, a sufficient number of normal facial images and facial images under different light conditions are selected to serve as a training set, the positions of characteristic points of each training image are accurately marked manually, and a moving shape model and a local texture model are established. The model training stage just needs to be executed once. At the image searching stage, the accurate positions of pupils of a target image are firstly determined to initialize the initial position of the moving shape model, and then the model is fitted to the accurate target characteristic point positions through iteration.

Description

technical field [0001] The invention relates to a method for locating feature points in facial images, belonging to the technical field of signal processing. Background technique [0002] The location of human facial feature points is a key technology in image processing applications such as face recognition, expression recognition, gender recognition, and face beautification. It has a wide range of applications in video surveillance, public security, and digital entertainment. The local facial feature point location method is a method for locating local organs. This method has a small amount of calculation, but it can only give a few feature points, and the positioning accuracy is low and not very robust. The feature point positioning method based on active shape models (ActiveShapeModels, ASM) is a global positioning method. It can locate multiple feature points on the face at the same time, and the positioning speed is fast, so it is widely used, but this method is greatl...

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Application Information

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IPC IPC(8): G06K9/66
Inventor 陈喆殷福亮唐坤
Owner DALIAN UNIV OF TECH
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