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» Novel Observation Model for Probabilistic Object Tracking
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ICRA
2009
IEEE
122views Robotics» more  ICRA 2009»
13 years 7 months ago
Utilizing reflection properties of surfaces to improve mobile robot localization
Abstract-- A main difficulty that arises in the context of probabilistic localization is the design of an appropriate observation model, i.e., determining the likelihood of a senso...
Maren Bennewitz, Cyrill Stachniss, Sven Behnke, Wo...
IJCV
2007
196views more  IJCV 2007»
13 years 10 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
IDEAS
2005
IEEE
149views Database» more  IDEAS 2005»
14 years 3 months ago
An Adaptive Multi-Objective Scheduling Selection Framework for Continuous Query Processing
Adaptive operator scheduling algorithms for continuous query processing are usually designed to serve a single performance objective, such as minimizing memory usage or maximizing...
Timothy M. Sutherland, Yali Zhu, Luping Ding, Elke...
ISMAR
2008
IEEE
14 years 4 months ago
Fast annotation and modeling with a single-point laser range finder
This paper presents methodology for integrating a small, singlepoint laser range finder into a wearable augmented reality system. We first present a way of creating object-align...
Jason Wither, Christopher Coffin, Jonathan Ventura...
CVPR
2006
IEEE
15 years 5 days ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie