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ICPR
2002
IEEE
14 years 6 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
ECCV
2006
Springer
14 years 7 months ago
An Integrated Model for Accurate Shape Alignment
In this paper, we propose a two-level integrated model for accurate face shape alignment. At the low level, the shape is split into a set of line segments which serve as the nodes ...
Lin Liang, Fang Wen, Xiaoou Tang, Ying-Qing Xu
CVPR
2012
IEEE
11 years 7 months ago
Face detection, pose estimation, and landmark localization in the wild
We present a unified model for face detection, pose estimation, and landmark estimation in real-world, cluttered images. Our model is based on a mixtures of trees with a shared p...
Xiangxin Zhu, Deva Ramanan
ICCV
2011
IEEE
12 years 5 months ago
Optimal Landmark Detection using Shape Models and Branch and Bound
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
Brian Amberg, Thomas Vetter
3DIM
2005
IEEE
13 years 11 months ago
Fitting of 3D Circles and Ellipses Using a Parameter Decomposition Approach
Many optimization processes encounter a problem in efficiently reaching a global minimum or a near global minimum. Traditional methods such as Levenberg-Marquardt algorithm and t...
Xiaoyi Jiang, Da-Chuan Cheng