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A Local Feature Representation Method Based on Facial Expression Image

A technology of facial expression and local features, applied in image analysis, image data processing, computer components, etc., can solve problems such as large amount of computation, high time complexity, and difficulty in determining initial parameters

Inactive Publication Date: 2017-01-11
HEFEI UNIV OF TECH
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Problems solved by technology

However, the model-based feature extraction method has the problems of difficulty in determining the initial parameters, large amount of calculation, and high time complexity.

Method used

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  • A Local Feature Representation Method Based on Facial Expression Image
  • A Local Feature Representation Method Based on Facial Expression Image
  • A Local Feature Representation Method Based on Facial Expression Image

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Embodiment Construction

[0084] In this example, if figure 1 As shown, a local feature representation method based on facial expression images is carried out as follows:

[0085] Step 1, preprocessing the facial expression image;

[0086] Step 1.1, see figure 2 , use the Haier detector to determine the position of the human eye in the facial expression image, and the center position of the left eye is recorded as: E l , the position of the center of the right eye is denoted as: E r ; put E l ,E r The distance between them is recorded as: d;

[0087] Step 1.2, crop the facial expression image, according to the distance of 0.6d upward from the horizontal line where the center of the human eye is located, and the distance of 1.6d downward from the horizontal line where the center of the human eye is located, from the left eye center position E l The distance from the position to the left is 0.4d, from the position E of the center of the right eye r After cropping at a distance of 0.4d to the righ...

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Abstract

The invention discloses a local feature characterization method based on a face expression image. The local feature characterization method is characterized by comprising the following steps: 1, utilizing a Haier detector to divide a face expression image into an eyebrow sub-image, an eye sub-image and a mouth sub-image according to the relation that the nose accounts for one-third of the face in the longitudinal direction and the eye counts for one-fifth of the face in the transverse direction; 2, obtaining a sufficient vector triangular code; 3, utilizing the sufficient vector triangular code to conduct local feature analysis on the eyebrow sub-image, an eye sub-image and a mouth sub-image. By means of the local feature characterization method based on the face expression image, local features of the face expression image can be effectively presented, the computing complexity is reduced, and timeliness and precision of feature extraction are improved.

Description

technical field [0001] The invention relates to a feature extraction method, which belongs to the field of image processing, in particular to an accurate local feature description method based on facial expression images. Background technique [0002] With the continuous development of subject areas such as affective computing, expression recognition, as an important part of it, has become a current research hotspot. Expression recognition can usually be divided into three steps: image preprocessing, feature extraction, and expression classification and recognition. Among them, feature extraction is the key to the expression recognition process. In recent years, excellent algorithms for feature extraction have emerged one after another, which can be roughly divided into: [0003] The feature extraction method based on geometric features is mainly used to extract the shape and position change features of various organs of the face, such as eyebrows, eyes, mouth and other org...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06T7/00
Inventor 胡敏王晓华任福继江河黄忠朱弘李堃陈红波孙晓
Owner HEFEI UNIV OF TECH
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