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Face description, recognition method and device

A facial image and facial feature technology, applied in character and pattern recognition, computer components, instruments, etc., can solve the problems of complex extraction of AFR descriptors, achieve the effect of improving recognition or identification performance and reducing extraction complexity

Inactive Publication Date: 2005-11-23
MITSUBISHI ELECTRIC CORP
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AI Technical Summary

Problems solved by technology

[0030] As mentioned earlier, the extraction of AFR descriptors is very complicated even when only the Four-domain features (Fourier part) of the descriptors are used.

Method used

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  • Face description, recognition method and device
  • Face description, recognition method and device
  • Face description, recognition method and device

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Embodiment Construction

[0052] Table 1 explains the block symbols in the figure. The basic components are: Fourier transform (T, F); feature vector transform (discrimination transform) (D) in the form of linear mapping (specifically, Dual-LDA); normalization (N) and digital transformation (Q). As you can see in the structural block diagram, compared with the 42 images used for feature extraction in the Fourier domain part of AFR, there are only 6 input images: f 1 , F 1，1 , F 1，2 , F 2 , F 2，1 , F 2，2 . figure 2 These images used in the preferred embodiment are shown in and are described below. Please note that the proposed scheme uses a 3-level discriminative structure, and Fourier facial features are extracted from the overall and central image regions combined in the final-level DLDA mapping.

[0053] Although only at the initial discriminant level ( Picture 9 ) Shows normalization, but it can also be normalized in the subsequent discriminant stage.

[0054] Table 1-Block Symbol

[0055]

[0056] ...

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Abstract

A face recognition method, apparatus and system uses an architecture comprising multiple dual Linear Discriminant Analysis (LDA) transformations applied to coefficients of a frequency-based transformation applied to the facial image and its components. This new method significantly reduces extraction complexity compared to prior art and also offers increased robustness to face pose, illumination conditions and other factors, thus improving the recognition or authentication performance.

Description

Technical field [0001] The present invention relates to a method and device for face description and recognition. The present invention also relates to a method and device for representing an image, especially a face in a facial image, and the use of such representation. Background technique [0002] The first article describing facial recognition in the Fourier domain may be "Face Recognition in Fourier Space" (published in Vision Interface' 2000: 38-44, Montreal, 2000). This article describes a facial recognition system that uses facial descriptions based on Fourier spectra calculated from normalized facial images. The face verification or recognition is accomplished by finding the closest match between the feature vectors containing the Fourier coefficients at the selected frequency. It is reported that a subset of 27 frequency coefficients produces good results (using 15 real coefficients and 12 imaginary coefficients). The selection of these coefficients is based on the rela...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06K9/00281G06V40/171
Inventor 米罗斯瓦夫·博贝尔克日什托夫·库哈尔斯基瓦迪斯瓦夫·斯卡尔贝克
Owner MITSUBISHI ELECTRIC CORP
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