摘要
文中通过对彩色图像的色彩因素的分析 ,得出了关于色度与彩色坐标系的关系 ,建立了相应的肤色、唇色色系的坐标变换方法 .基于这种坐标系 ,可以通过简单的阈值设定 ,得到彩色图像的人脸面部定位与跟踪的方法 .此方法能有效、稳健地测得目标的位置 ,不受对象姿态、背景的影响 .通过在线学习 ,还可以去除光照条件变化的影响及摄像设备的影响 .它是利用彩色图像中对亮度信息规一化处理后、提取出来的相对稳定的色度信息来检测和确定目标 ,进行定位和跟踪的 .并用亮度信息增强微小差别物体间的对比度 ,以突出细节 。
On basis of color factors of images, the relationship between chroma and color coordinates is obtained, and a method of color coordinates transformation applicable to skin chromatic, lip chromatic enhancement is established in this paper. Based on the coordinates, an approach to human face locating and tracking in color images is presented by simply giving a threshold. The method is effective and robust in detecting the positions of objects, not impacted by either the pose of objects or the background. The influence of illumination variance and camera device difference is overcome by on line learning. After the intensity of color images is normalized, the remained relatively stable chromatic information is utilized to detect, locate and track the objects. The intensity information of color images is employed to enhance the contrast between tiny difference objects, thus to give prominence to the particulars and describe them.
出处
《计算机学报》
EI
CSCD
北大核心
2000年第2期158-165,共8页
Chinese Journal of Computers
基金
国家八六三高技术研究发展计划
国家教委跨世纪人才基金
关键词
色度
亮度
计算机视觉
人睑
彩色图像
面部定位
chroma, intensity of light, normalization, principal component analysis, color space representation
