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» Estimating Vision Parameters given Data with Covariances
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NIPS
2004
14 years 11 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
CVPR
1997
IEEE
15 years 1 months ago
Empirical Bayesian EM-based Motion Segmentation
A recent trend in motion-based segmentation has been to rely on statistical procedures derived from ExpectationMaximization (EM) principles. EM-based approaches have various attra...
Nuno Vasconcelos, Andrew Lippman
ICCV
2007
IEEE
15 years 11 months ago
Discrete camera calibration from the information distance between pixel streams
We consider the problem of estimating the relative orientation of a number of individual photocells -or pixels- that hold fixed relative positions. The photocells measure the inte...
Etienne Grossmann, Francesco Orabona, José ...
ECCV
2006
Springer
15 years 1 months ago
A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery
The recovery of 3D shape and camera motion for non-rigid scenes from single-camera video footage is a very important problem in computer vision. The low-rank shape model consists ...
Adrien Bartoli, Søren I. Olsen
ISER
1999
Springer
112views Robotics» more  ISER 1999»
15 years 2 months ago
Models for Automated Earthmoving
Abstract: We present a composite forward model of the mechanics of an excavator backhoe digging in soil. This model is used to predict the trajectories developed by a closed-loop f...
Howard Cannon, Sanjiv Singh