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» An LFT approach to parameter estimation
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ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
13 years 8 months ago
A new sensor self-calibration framework from velocity measurements
— In this paper we propose a new on-line sensor self-calibration framework. The approach is to consider the sensor/robot interaction that links the sensor signal variations to th...
Olivier Kermorgant, David Folio, François C...
ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
13 years 7 months ago
PTZ camera calibration for Augmented Virtual Environments
Augmented Virtual Environments(AVE) are very effective in the application of surveillance, in which multiple video streams are projected onto a 3D urban model for better visualiza...
Lu Wang, Suya You, Ulrich Neumann
ECCV
2010
Springer
13 years 11 months ago
Joint Estimation of Motion, Structure and Geometry from Stereo Sequences
We present a novel variational method for the simultaneous estimation of dense scene flow and structure from stereo sequences. In contrast to existing approaches that rely on a ful...
Levi Valgaerts, Andrés Bruhn, Henning Zimme...
ICASSP
2011
IEEE
13 years 1 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
IJCV
2000
164views more  IJCV 2000»
13 years 10 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann