Towards Face Recognition at a Distance
Towards Face Recognition at a Distance
复制标题
迈向远距离人脸识别
DOI：
10.1049/ic:20060363
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
E. Olevskiy
中科院分区：
文献类型：
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作者：
S. Prince;J. Elder;Yuqian Hou;M. Sizinstev;E. Olevskiy
目前的人脸识别算法需要用户的默契合作，用户必须将自己定位在一个小的空间区域内，并面对摄像头。在不受控制的条件下进行人脸识别，例如在安全摄像头镜头中，会带来两个额外的挑战。首先，在这种设置中难以捕获高质量的面部图像。其次，人脸的姿态相对不受控制，这导致大多数人脸识别算法失败。在本文中，我们提出了一系列的解决方案来解决这些问题。高质量的面部图像是使用中央凹宽视场传感器捕获的，其中窄视场相机使用来自静态宽视场相机的信息指向面部。与眼睛/鼻子等相对应的特征点被准确地定位，并且脸部形状被归一化。介绍了一种新的算法，以确定这些（通常是非正面）的脸从正面的脸的测试画廊。结果被证明是上级当代的方法。
Current face recognition algorithms require the tacit cooperation of users, who must position themselves in a small area of space and face the camera. Face recognition in uncontrolled conditions, such as in security camera footage presents two extra challenges. First, it is difficult to capture good quality images of faces in this setting. Second, the pose of the face is relatively uncontrolled which causes most face recognition algorithms to fail. In this paper, we present a series of solutions to address these problems. High quality face images are captured using a foveated wide field sensor, in which a narrow-field camera is directed towards faces using information from a static wide-field camera. Feature points corresponding to the eyes/nose etc. are accurately localized and face shape is normalized. A novel algorithm is introduced to identify these (typically non-frontal) faces from a test gallery of frontal faces. Results are demonstrated to be superior to contemporary approaches.