Techniques to use stereo vision for improving person identification systems based on face recognition

这个项目的主要目标是利用立体相机图像处理的三维信息，以弥合受限的人脸识别系统与在不同照明、姿势变化、眼镜、面部毛发和服装变化下工作良好的可行系统之间的差距。这种系统将用于机场的乘客核查，并作为打击恐怖主义的个人身份识别系统的一个组成部分。成功的人脸定位和识别的关键是所有数据的有效组合——距离、亮度和颜色——而这方面的技术将是发现的结果。

The broad aim of this project is to use three-dimensional information available by processing images from stereo cameras in order to bridge the gap between constrained face recognition systems and viable systems that work well under varying illumination, changes in pose and variations in spectacles, facial hair and attire. Such a system will be useful in passenger verification at airports and as a component of personal identification systems to counter terrorism. The key to successful face location and recognition is an effective combination of all data - range, luminance and colour - and techniques for this will be the discovered outcomes.