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Face locating and tracking method based on chroma transform in color images

机译:基于色度变换的彩色图像人脸定位跟踪方法

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This paper has investigated the color facts in color images, obtained the relationship between chroma and color coordinates, and established a type of coordinate transform which is able to improve chroma of the skin and lip. With these coordinates, a new method of human face locating and tracking based on skin chroma and lip chroma transform in color images has been presented. It is effective and robust to detect the position of objects, not impacted by the pose of object and complexity of background. It is able to overcome the influence of illumination variance or different camera devices by on-line learning. This method is fast and stable. This algorithm is prerequisite for most human face perception system. By this approach, a feasible, reliable and real-time property algorithm to work out locating and tracking problem in real system is obtained.
机译:本文研究了彩色图像中的色彩事实,获得了色度与色坐标之间的关系,并建立了一种可以改善皮肤和嘴唇色度的坐标变换类型。利用这些坐标,提出了一种基于肤色色度和嘴唇色度变换的彩色图像人脸定位与跟踪新方法。检测物体的位置不受物体的姿势和背景的复杂性影响是有效且鲁棒的。通过在线学习,可以克服光照变化或不同相机设备的影响。该方法快速,稳定。该算法是大多数人脸感知系统的前提。通过这种方法,获得了一种可行,可靠,实时的属性算法,可以解决实际系统中的定位和跟踪问题。

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