CAJ | 학술논문

对用于人脸检测系统的多种肤色模型进行了研究,详细分析了固定阈值分割法、高斯肤色模型法和最大类间方差法,并分别在加州理工大学彩色人脸库上进行了仿真实验。实验结果表明,在不同的光照条件和背景环境下,3种肤色模型分割效果并不一致,而主要影响因素就是光照条件。通过大量数据分析,统计出3种模型能达到最好分割效果时的光照条件。结合 Y 通道信息,提出根据光照条件自动切换3种肤色模型的人脸检测算法。相对于过去单一肤色模型的人脸检测系统,本系统更稳定,更能适应环境。
대용우인검검측계통적다충부색모형진행료연구,상세분석료고정역치분할법、고사부색모형법화최대류간방차법,병분별재가주리공대학채색인검고상진행료방진실험。실험결과표명,재불동적광조조건화배경배경하,3충부색모형분할효과병불일치,이주요영향인소취시광조조건。통과대량수거분석,통계출3충모형능체도최호분할효과시적광조조건。결합 Y 통도신식,제출근거광조조건자동절환3충부색모형적인검검측산법。상대우과거단일부색모형적인검검측계통,본계통경은정,경능괄응배경。
In this paper,a variety of color models for face detection system are examined,detailed analysis of the inter-fixed threshold segmentation method,Gaussian skin color model and Otsu,respectively,on the Caltech library of color face experiments. The experimental results show that under different lighting conditions and the background environment,three color segmentation model is not consistent,but the main factors is the lighting conditions.By analyzing large amounts of data,get the lighting conditions of the three models to achieve the best results when dividing.Combined with Y channel information,present a new face detection algorithm with three color models automatically switching based on the lighting conditions.Compared to the past face detection system with a signal skin color model,the new system is more stable and adapt to the environment.