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Human face feature positioning method based on ASM algorithm

A face feature and positioning method technology, applied in the field of face recognition, can solve problems such as inaccurate face positioning results and background detail interference

Inactive Publication Date: 2011-10-05
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

The disadvantage is that the interference of background details makes the face positioning results inaccurate

Method used

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  • Human face feature positioning method based on ASM algorithm
  • Human face feature positioning method based on ASM algorithm
  • Human face feature positioning method based on ASM algorithm

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Experimental program
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Embodiment Construction

[0042] Adopt the method of the present invention, use C language to write the program, then carry out simulation experiment on the platform of matlab and obtain the result. The 240 gray-scale face images in the imm_face_db face database, including 40 people in different lighting conditions, different expressions and different poses, are used as source data. Compared with the data analysis of the results of the traditional ASM algorithm, the positioning The accuracy rate has been greatly improved.

[0043] To sum up, the method of the present invention makes full use of the characteristic information of the human face and combines the advantages of the ASM algorithm, so as to quickly and accurately detect and locate the human face area from the provided original image of the human face.

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Abstract

The present invention discloses a human face feature positioning method based on an ASM algorithm, belongs to the technical field of image processing, and mainly relates to human face recognition technology in biological feature authentication. The method comprises the following steps: firstly, performing manual calibration on a group of human face sample images to extract feature points; secondly, adopting a Procrustes Analysis algorithm to carry out registration on a sample set to obtain an average human face model; thirdly, adopting a strategy of performing contour search on the images under three resolution ratios to establish a statistic grayscale search model; and finally, performing a matching operation on the statistic grayscale search model and a local grayscale model of a human face image Ys to be positioned, and performing cyclic iterative search positioning on the human face image Ys to be positioned. The human face feature positioning method combines the ASM algorithm and the Procrustes analysis method, can effectively improve human face positioning speed and accuracy, and has strong commonality.

Description

technical field [0001] The invention belongs to the technical field of image processing, and mainly relates to face recognition technology in biometric identification. Background technique [0002] In today's information age, how to accurately identify a person's identity and protect information security is a key social problem that must be solved. For this reason, biometric identification technology has quietly emerged, and has become a frontier research topic in the field of information security management in the world. Biometric identification technology refers to the use of the inherent physiological or behavioral characteristics of the human body for personal identification. Face recognition technology is a branch of biometric identification technology. It is the application of computer image processing technology and pattern recognition technology in the field of personal identification. A popular development direction for biometric authentication. Face automatic re...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/36
Inventor 解梅徐华
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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