CAJ | 학술논문

针对目前基于色彩的人脸检测只能用于人脸区域的粗检这一不足，提出一种利用人脸的五官位置及色彩信息建立彩色人脸模板的算法。采用光照补偿对图像进行预处理，利用YCbCr空间中的肤色模型进行粗检，确定出人脸候选区域，利用建构好的模板进行搜索比对定位出人脸。实验结果表明该方法对不同光照环境和复杂背景的图片均有较好的适应性，检测精度也得到了提高。
침대목전기우색채적인검검측지능용우인검구역적조검저일불족，제출일충이용인검적오관위치급색채신식건립채색인검모판적산법。채용광조보상대도상진행예처리，이용YCbCr공간중적부색모형진행조검，학정출인검후선구역，이용건구호적모판진행수색비대정위출인검。실험결과표명해방법대불동광조배경화복잡배경적도편균유교호적괄응성，검측정도야득도료제고。
This paper puts forward a new detection method by setting up skin-color template which is determined by the facial feature position and color information to solve the problem that the color-based face detection can only be used for rough detection at face region. Through pre-processing the image with illumination compensation and testing out face can-didate region of the image by skin-color model in the YCbCr space, it confirms the position of the face by searching and comparing with the template constructed in this paper. Experimental tests show that the method has a better adaptability to various illumination environments and complex background picture, and the detection precision is also improved.