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» Optimal Landmark Detection using Shape Models and Branch and...
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93
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CVPR
2008
IEEE
16 years 8 days ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
74
Voted
ECCV
2008
Springer
16 years 4 days ago
Robust Optimal Pose Estimation
Abstract. We study the problem of estimating the position and orientation of a calibrated camera from an image of a known scene. A common problem in camera pose estimation is the e...
Olof Enqvist, Fredrik Kahl
108
Voted
ICCV
2005
IEEE
15 years 3 months ago
Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping
Face recognition and many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. In brain imaging, surfac...
Yalin Wang, Ming-Chang Chiang, Paul M. Thompson
67
Voted
ESOP
2001
Springer
15 years 2 months ago
On the Complexity of Constant Propagation
Constant propagation (CP) is one of the most widely used optimizations in practice (cf. [9]). Intuitively, it addresses the problem of statically detecting whether an expression al...
Markus Müller-Olm, Oliver Rüthing
102
Voted
AI
2010
Springer
14 years 10 months ago
Soft arc consistency revisited
The Valued Constraint Satisfaction Problem (VCSP) is a generic optimization problem defined by a network of local cost functions defined over discrete variables. It has applicatio...
Martin C. Cooper, Simon de Givry, M. Sanchez, Thom...