标题: 应用3D电脑图学技术重建人脸正面影像
Reconstructing Frontal-View Face Image Using 3D Computer Graphic Technique
作者: 吕孟霖
Meng-Lin Lu
陈永平
Yon-Ping Chen
电控工程研究所
关键字: 3D人脸模型;姿态预估;脸部合成;特征萃取;人脸辨识;人脸追踪;3D face model;pose estimation;face synthesis;feature extraction;face recognition;face tracking
公开日期: 2002
摘要: 人脸辨识近年来已被广泛的研究,而许多辨识理论也随之发展。然而大部分的人脸辨识理论对于输入的人脸图片在姿态上有着严格的限制。这些辨识理论只允许输入有少许偏差的正面人脸。在本论文中,我们提出一各结合电脑图学与电脑视觉的方法来解决上述的问题。此系统容许输入非正面姿态的人脸,并将输入的图片合成为一各虚拟的人脸正面影像。输出的影像可以输入到大部分需要输入正面人脸影像的辨识系统。易言之,本论文所提出的系统可以与其他的人脸辨识系统整合,并使其对于输入的人脸在姿态上更具弹性。此外,本论文亦提出一各有效率的人脸姿态预估方法。人脸姿态预估可应用于许多电脑视觉相关的领域。例如人脸追踪系统或是用于侦测汽车驾驶者状态的人机介面。
Face recognition has been studied extensively in last decade and many techniques have been developed. However, most of presented face recognition system has strict restriction in pose variation. They only allow input images to be frontal-view or images with little pose variation. In this thesis, an approach that combines both computer graphics and computer vision is presented to handle this problem. The proposed system does not restrict the input image to be frontal-view and synthesis the input image into a virtual frontal-view face image. The output image can be the input of most face recognition systems, which require input images have no pose variation. In other wolds, the proposed system can be integrated to other face recognition system to make face recognition system avoid influence of head pose variation. In addition, an effective human head pose estimation method is also described in this thesis. The pose estimation method is useful in many computer vision tasks such as head tracking and man-machine interface used in detecting state of vehicle driver.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT910591080
http://hdl.handle.net/11536/71055
显示于类别:Thesis