Automatic identification method of facial color adaptation based on spectral reflectance

Abstract

The automatic recognition method of facial color adaptability based on spectral reflectance belongs to the objective research field of color diagnosis in traditional Chinese medicine. Adaptive recognition of San Tuan and Ze Yao. The present invention determines the base function of the spectral reflectance of the complexion by collecting the spectral reflectances of various complexions and adopting a finite-dimensional model method. The face spectral reflectance is represented by a linear combination of basis functions. Taking the neck skin color as the reference color, the basis function coefficient difference between the face color and the reference color is used as the feature vector of the face color. The support vector machine recognition method was used to obtain the category of the overall complexion and color part complexion. At the same time, through the cumulative sum of reflectance, the position of the feature vector in the coefficient space, the magnitude of the neighborhood coefficient change, and the gradient change law of the coefficient map, the clearness, slightness, looseness, and luster of the complexion are judged respectively.

Description

technical field [0001] The invention belongs to the field of objective research of color diagnosis in traditional Chinese medicine, and particularly relates to the field of quantitative and automatic analysis of facial color diagnosis in traditional Chinese medicine. Adaptive recognition of , Weishi, Santuan and Zeyao. Background technique [0002] Facial color diagnosis is a diagnostic method to understand the disease by observing the changes in the facial features of the patient. It is a unique diagnostic method in traditional Chinese medicine. It can provide a certain diagnostic basis for the qualitative, localization and prognosis of the disease, and has important diagnostic significance. In the color diagnosis of traditional Chinese medicine, the doctor visually observes the patient under natural light, conducts judgment and analysis, and describes the patient's symptoms in words. This method is highly subjective and is easily affected by time, seasons, climate and oth...

AI Technical Summary

Problems solved by technology

This method is highly subjective and is easily affected by time, seasons, climate and other conditions, resulting in the discrimination of facial color varies from person to time and place, and it is difficult to obtain objective and quantitative information, which is useful for clinical, teaching and scientific research. It has brought a lot of inconvenience and hindered academic exchanges

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