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CVPR
2009
IEEE
16 years 9 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
ICCV
2009
IEEE
16 years 6 months ago
A Robust Elastic and Partial Matching Metric for Face Recognition
We present a robust elastic and partial matching metric for face recognition. To handle challenges such as pose, facial expression and partial occlusion, we enable both elastic ...
Gang Hua, Amir Akbarzadeh
143
Voted
CVPR
2009
IEEE
1385views Computer Vision» more  CVPR 2009»
16 years 6 months ago
Distance Transform Templates for Object Detection and Pose Estimation
We propose a new approach for detecting low textured planar objects and estimating their 3D pose. Standard matching and pose estimation techniques often depend on texture and fe...
Stefan Holzer, Stefan Hinterstoisser, Slobodan Ili...
130
Voted
CVPR
2001
IEEE
16 years 3 months ago
Optimal Adaptive Learning for Image Retrieval
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
Tao Wang, Yong Rui, Shi-Min Hu
CVPR
2007
IEEE
16 years 3 months ago
Monocular and Stereo Methods for AAM Learning from Video
The active appearance model (AAM) is a powerful method for modeling deformable visual objects. One of the major drawbacks of the AAM is that it requires a training set of pseudo-d...
Jason Saragih, Roland Göcke