Human face identification algorithm based on image sensor imaging system

An image sensor and imaging system technology, applied in the field of face recognition algorithms, to achieve the effect of improving the recognition rate and recognition speed and reducing the complexity

Inactive Publication Date: 2012-11-14
HEFEI UNIV OF TECH
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  • Human face identification algorithm based on image sensor imaging system
  • Human face identification algorithm based on image sensor imaging system
  • Human face identification algorithm based on image sensor imaging system

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Embodiment Construction

[0035] The face recognition algorithm based on the image sensor imaging system is characterized in that the steps of the algorithm are as follows:

[0036] (1) Obtain three-dimensional face data through the image sensor imaging system;

[0037] (2) Correct the 3D face data obtained above:

[0038] Manually mark several key points of the face in the face data (such as left eye corner, right and right eye corner, nose tip, etc.), and obtain the head posture changes by comparing the spatial positions of the key points, and further analyze the overall face data. Rotate, interpolate and align to obtain a standard and unified "median" face image;

[0039] (3) Use isodepth lines to represent face data:

[0040] The corrected 3D face data has rich information and a large amount of data. In order to facilitate classification and recognition and improve the recognition speed, isodepth lines are used to describe the surface information of the 3D face; the set of the same depth points o...

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Abstract

The invention discloses a human face identification algorithm based on an image sensor imaging system. On the basis of three-dimension human face data obtained through a three-dimension human face imaging system of a relevant image sensor (CIS), the algorithm firstly expresses the three-dimension human face data through an isobathic line and a Fourier descriptor, extracts the characteristics through an improved manifold learning method, and finally realizes classified identification through a nearest neighbor classifier based on Euclidean distance. According to the invention, the three-dimension data utilized in the human face identification is converted into two-dimensional data (isobathic line) to be processed, thereby reducing the data processing complexity on the basis of maintaining the original human face information; and meanwhile, the improved manifold learning method is used for extracting the characteristics, so that the identification efficiency and the identification speed are greatly improved.

Description

Technical field: [0001] The invention relates to the technical field of three-dimensional imaging, in particular to a face recognition algorithm based on an image sensor imaging system. Background technique: [0002] With the rapid development of computer technology, electronic communication technology and network technology, the importance of identification has become increasingly prominent. Traditional password methods have gradually become unsuitable for the development of contemporary society, and biometric identification technology has become the main direction of current identification technology development. Biological features are usually unique, measurable or automatically identifiable, and lifelong invariance, which can meet the needs of identification, mainly including: face recognition, fingerprint recognition, hand recognition, iris recognition, DNA recognition, handwriting recognition and speech recognition etc. [0003] Face recognition is a biometric recogn...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 詹曙蒋建国叶长明齐美彬李小红夏娜张芝华
Owner HEFEI UNIV OF TECH
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