Modelling the variability in face images
Modelling the variability in face images
复制标题
对人脸图像的变异性进行建模
DOI：
10.1109/afgr.1996.557286
复制
发表时间：
1996
期刊：
影响因子：
--
通讯作者：
Tim Cootes
中科院分区：
文献类型：
--
作者：
G. Edwards;A. Lanitis;C. Taylor;Tim Cootes
事实证明，基于模型的面部图像解释方法非常成功。我们之前描述了基于统计的面部形状和灰度外观模型，并展示了如何使用它们来执行各种编码和解释任务（Lanitis 等人，1995）。在本文中，我们描述了改进的建模方法，该方法比现有方法更直接地耦合形状和灰度信息，隔离由于不同的可变性来源（人、表情、姿势、照明）而导致的外观变化，并处理非线性形状变化。我们证明新方法更适合解释和跟踪任务。
Model based approaches to the interpretation of face images have proved very successful. We have previously described statistically based models of face shape and grey-level appearance and shown how they can be used to perform various coding and interpretation tasks (Lanitis et al., 1995). In the paper we describe improved methods of modelling, which couple shape and grey-level information more directly than our existing methods, isolate the changes in appearance due to different sources of variability (person, expression, pose, lighting) and deal with nonlinear shape variation. We show that the new methods are better suited to interpretation and tracking tasks.
基于特征脸的人脸建模与识别
DOI：
--
发表时间：
2003
期刊：
IPSJ SIG Technical Reports Vol. CVIM-139
影响因子：
--
作者：
T.;Shakunaga;F.;Sakaue;Y.;Matsubara
通讯作者：
Matsubara