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» Robust Principal Component Analysis for Computer Vision
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JMLR
2006
131views more  JMLR 2006»
13 years 9 months ago
On Representing and Generating Kernels by Fuzzy Equivalence Relations
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
Bernhard Moser
CVPR
2008
IEEE
14 years 11 months ago
Robust unambiguous parametrization of the essential manifold
Analytic manifolds were recently used for motion averaging, segmentation and robust estimation. Here we consider the epipolar constraint for calibrated cameras, which is the most ...
Raghav Subbarao, Yakup Genc, Peter Meer
CVPR
2001
IEEE
14 years 11 months ago
Component-based Face Detection
We present a component-based, trainable system for detecting frontal and near-frontal views of faces in still gray images. The system consists of a two-level hierarchy of Support ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
VR
1999
IEEE
185views Virtual Reality» more  VR 1999»
14 years 1 months ago
Hybrid Inertial and Vision Tracking for Augmented Reality Registration
The biggest single obstacle to building effective augmented reality (AR) systems is the lack of accurate wide-area sensors for trackers that report the locations and orientations ...
Suya You, Ulrich Neumann, Ronald Azuma
FORMATS
2006
Springer
14 years 19 days ago
Symbolic Robustness Analysis of Timed Automata
We propose a symbolic algorithm for the analysis of the robustness of timed automata, that is the correctness of the model in presence of small drifts on the clocks or imprecision ...
Conrado Daws, Piotr Kordy