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» Estimating Vision Parameters given Data with Covariances
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NIPS
2004
15 years 1 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 3 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
16 years 1 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 3 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 4 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