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» A Constructive Feature Detection Approach for Robotic Vision
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ICPR
2008
IEEE
14 years 10 months ago
Feature selection focused within error clusters
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
Henry S. Baird, Sui-Yu Wang
ROBOCUP
2005
Springer
85views Robotics» more  ROBOCUP 2005»
14 years 2 months ago
Particle-Filter-Based Self-localization Using Landmarks and Directed Lines
The paper presents the self-localization approach used by the World Champion in the Sony Four-Legged Robot League 2004. The method is based on a particle filter that makes use of ...
Thomas Röfer, Tim Laue, Dirk Thomas
ICARCV
2002
IEEE
141views Robotics» more  ICARCV 2002»
14 years 2 months ago
An efficient binary corner detector
Corner extraction is an important task in many computer vision systems. The quality of the corners and the efficiency of the detection method are two very important aspects that ...
Parvanesh Saeedi, David Lowe, Peter Lawrence
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
14 years 3 months ago
Frame rate object extraction from video sequences with self organizing networks and statistical background detection
— In many computer vision related applications it is necessary to distinguish between the background of an image and the objects that are contained in it. This is a difficult pr...
Thiago C. Bellardi, Dizan Vasquez, Christian Laugi...
ECCV
2008
Springer
14 years 11 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele