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» Learning structurally discriminant features in 3D faces
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CVPR
2005
IEEE
14 years 7 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
ICPR
2000
IEEE
13 years 9 months ago
Discriminant Snakes for 3D Reconstruction in Medical Images
In this work we proposea new statistic deformable model that we call discriminant snake for 3D reconstruction in volumetric images. Our discriminant snake generalises the classica...
Xose Manuel Pardo, Petia Radeva
ICIP
2007
IEEE
14 years 7 months ago
Local or Global 3D Face and Facial Feature Tracker
We present in this paper a solution for 3D face and facial feature tracking using canonical correlation analysis and a 3D geometric model. This model is controlled with 17 paramet...
Franck Davoine, José Alonso Ybá&ntil...
ICIP
2007
IEEE
13 years 9 months ago
A Novel Facial Feature Point Localization Method on 3D Faces
Although 2D-based face recognition methods have made great progress in the past decades, there are also some unsolved problems such as PIE. Recently, more and more researchers hav...
Peng Guan, Yaoliang Yu, Liming Zhang
CVPR
2006
IEEE
14 years 7 months ago
Joint Boosting Feature Selection for Robust Face Recognition
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang