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Extracting method for smiling face identification on picture of human face

An extraction method and smiley face recognition technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as high cost and long experiment cycle, and achieve the effect of reducing the algorithm process

Inactive Publication Date: 2010-04-28
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

For example, to select the most useful 300-dimensional features for classification from 30720-dimensional features, it generally takes 2 hours of training time, so the existing technology has the disadvantage of high feature dimension, and the cost of algorithm implementation is relatively high. The cycle is relatively long

Method used

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  • Extracting method for smiling face identification on picture of human face
  • Extracting method for smiling face identification on picture of human face
  • Extracting method for smiling face identification on picture of human face

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Embodiment Construction

[0033] Below in conjunction with accompanying drawing, the present invention is further described, and the recognition equipment implementing the present invention can be digital camera and digital video camera etc., use embedded system equipment as platform to carry out recognition, can adopt C language to compile all kinds of image processing programs, just can It is better to carry out the present invention.

[0034] The system structure block diagram of the present invention is as figure 1 As shown, when the device captures an image, it first enters the face detection program to determine whether there is a face in the image. The commonly used face recognition algorithm is a face detection algorithm based on Haar-like features and AdaBoost. When the algorithm determines that there is a face in the image, it will return one or several rectangular frame information to mark the position of the portrait in the image. ; When the face position is detected in the face detection ...

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Abstract

The invention relates to the technical field of pattern identification and artificial intelligence, in particular relates to an extracting method for smiling face identification on a picture of a human face. The invention provides the extracting method for smiling face identification on the picture of the human face, wherein smiling faces and non-smiling faces can be differentiated by using characteristics of a layered gradient column diagram PHOG (PYRAMID HISTOGRAM OF ORIENTATIONGRADIENTS). The smiling face identification method comprises the following steps: (11) human face detection based on Haar characteristics and AdaBoost algorithm; (12) location of a mouth area of the human face; (13) characteristic extracting algorithm of the layered gradient column diagram; (14) training and identification of a support vector machine (SVM). The method differentiates smiling faces and non-smiling faces by proposing to use PHOG characteristics against over-high Gabor characteristic dimension, and can acquire experimental results equivalent to the identification rate of the Gabor characteristics by lower characteristic dimension. Therefore, the method can greatly improve the efficiency of algorithm, and is easier for usage in reality.

Description

technical field [0001] The invention relates to the technical fields of pattern recognition and artificial intelligence, in particular to a method for extracting smiley faces from human face pictures. technical background [0002] Smile recognition technology refers to a technology that recognizes whether a static face image or a face in a dynamic video is a smiley expression. Smile recognition technology belongs to the field of pattern recognition and artificial intelligence technology, which can be understood as a subset of facial expression technology. Facial Expression Recognition (Facial Expression Recognition) generally refers to dividing human expressions into seven categories (neutral, happy, afraid, sad, angry, disgusted, and contempt), and automatically classifies facial expressions in static pictures or videos. However, facial expression recognition technology is not yet mature enough to be applied in practice. Relatively speaking, smiling face recognition techn...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
Inventor 郭礼华金连文白洋
Owner SOUTH CHINA UNIV OF TECH
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