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» Probabilistic Location Recognition using Reduced Feature Set
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AAAI
1996
13 years 9 months ago
Robot Navigation Using Image Sequences
We describe a framework for robot navigation that exploits the continuity of image sequences. Tracked visual features both guide the robot and provide predictive information about...
Christopher Rasmussen, Gregory D. Hager
IBPRIA
2005
Springer
14 years 1 months ago
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking
Abstract. In this paper we present a method suitable to be used for human tracking as a temporal prior in a particle filtering framework such as CONDENSATION [5]. This method is f...
Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F...
IPL
2010
112views more  IPL 2010»
13 years 6 months ago
The cost of probabilistic agreement in oblivious robot networks
In this paper, we look at the time complexity of two agreement problems in networks of oblivious mobile robots, namely, at the gathering and scattering problems. Given a set of ro...
Julien Clement, Xavier Défago, Maria Gradin...
DAGSTUHL
2006
13 years 9 months ago
Many-to-Many Feature Matching in Object Recognition
One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the gener...
Ali Shokoufandeh, Yakov Keselman, M. Fatih Demirci...
PAMI
2002
112views more  PAMI 2002»
13 years 7 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent