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» Learning structurally discriminant features in 3D faces
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CVPR
2006
IEEE
14 years 1 months ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
MM
2004
ACM
277views Multimedia» more  MM 2004»
14 years 1 months ago
Avatar-mediated face tracking and lip reading for human computer interaction
Advanced human computer interaction requires automatic reading of human face in order to make the computer interact with human in the same way as human-to-human communication. We ...
Xiaozhou Wei, Lijun Yin, Zhiwei Zhu, Qiang Ji
CVIU
2007
129views more  CVIU 2007»
13 years 7 months ago
Multi-view face and eye detection using discriminant features
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
Peng Wang, Qiang Ji
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
14 years 2 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
ICB
2009
Springer
251views Biometrics» more  ICB 2009»
14 years 2 months ago
Heterogeneous Face Recognition from Local Structures of Normalized Appearance
Abstract. Heterogeneous face images come from different lighting conditions or different imaging devices, such as visible light (VIS) and near infrared (NIR) based. Because heter...
ShengCai Liao, Dong Yi, Zhen Lei, Rui Qin, Stan Z....