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» Creating Generative Models from Range Images
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ICML
2006
IEEE
16 years 5 months ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel
162
Voted
ROBOCUP
1999
Springer
102views Robotics» more  ROBOCUP 1999»
15 years 9 months ago
A Method for Localization by Integration of Imprecise Vision and a Field Model
In recent years, many researchers in AI and Robotics pay attention to RoboCup, because robotic soccer games needs various techniques in AI and Robotics, such as navigation, behavi...
Kazunori Terada, Kouji Mochizuki, Atsushi Ueno, Hi...
CVPR
2011
IEEE
15 years 1 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
ISBI
2002
IEEE
16 years 5 months ago
Covariance-driven retinal image registration initialized from small sets of landmark correspondences
An automatic retinal image registration algorithm would be an important tool for detecting visible changes in the retina caused by the progress of a disease or by the impact of a ...
Chia-Ling Tsai, Charles V. Stewart, Badrinath Roys...
172
Voted
CVPR
2008
IEEE
16 years 7 months ago
Automatic registration of aerial imagery with untextured 3D LiDAR models
A fast 3D model reconstruction methodology is desirable in many applications such as urban planning, training, and simulations. In this paper, we develop an automated algorithm fo...
Min Ding, Kristian Lyngbaek, Avideh Zakhor