Automatic Identification Method of 'Four Seasons Human' Based on Characteristic Analysis of Human Facial Images

Abstract

The invention relates to a method for automatically discriminating 'four seasons type person' based on the analysis of human face image features. The method comprises the following steps: first, selecting skin, eye, lip and eyebrow four key facial regions based on digital image of human face region; second, according to the established character image database marked with seasonal types, four samples of seasonal types being selected for each of the four key facial regions; third, color similarity algorithm based on color histogram and gray level mean being used to compare the color of each keyarea of the image to be measured with the color similarity of the corresponding area samples of four seasonal types, and the seasonal types of each key area of the character being obtained respectively by comparing the color similarity of each key area of the image; in the fourth step, the seasonal types of the four key regions being analyzed comprehensively, and the final seasonal types of the characters are obtained. Compared with the prior art, the present invention has the advantages of automatic discrimination, objective analysis, accuracy and high efficiency, etc.

Description

technical field [0001] The present invention relates to the field of theory of "four seasons type person" to distinguish four seasons colors, in particular to an automatic identification method of "four seasons type person" based on character facial image feature analysis. Background technique [0002] The Four Seasons Color Theory is a theory about color science first put forward by the color master Carlo Jackson. According to the theory, colors are divided into four seasons according to the difference in color, purity and lightness, among which "spring" and "autumn" are warm colors, and "summer" and "winter" are cool colors. According to the color theory of the four seasons, seasons are used to describe colors. Different colors have different perceptions, and they all have their own seasonal types. For example, cool colors with low lightness and high purity such as black and dark purple give people a cold and chilling look, reminiscent of cold winter; while bright colors ...

AI Technical Summary

Problems solved by technology

The judgment of color consultants has a strong relationship with their own knowledge background and personal experience, and is not universal in time and space; it is difficult for the public to give the most accurate text answers to the questions in the online questionnaire, and Judgment results strongly depend on the design of the questionnaire

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