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» Measuring and Predicting Object Importance
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ICPR
2010
IEEE
14 years 10 months ago
An Information Fusion Approach for Multiview Feature Tracking
We propose an information fusion approach to tracking objects from different viewpoints that can detect and recover from tracking failures. We introduce a reliability measure that...
Esra Ataer-Cansizoglu, Margrit Betke
FUIN
2010
268views more  FUIN 2010»
14 years 6 months ago
Boruta - A System for Feature Selection
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
CVPR
2007
IEEE
16 years 1 months ago
Precise Registration of 3D Models To Images by Swarming Particles
The precise alignment of a 3D model to 2D sensor images to recover the pose of an object in a scene is an important topic in computer vision. In this work, we outline a registrati...
Joerg Liebelt, Klaus Schertler
DLS
2005
101views Languages» more  DLS 2005»
15 years 1 months ago
Flexible object encapsulation for ambient-oriented programming
In the emerging field of Ambient Intelligence (AmI), software is deployed in wireless open networks of mobile devices. Such open networks require stringent security measures as u...
Wolfgang De Meuter, Éric Tanter, Stijn Most...
SAC
2004
ACM
15 years 4 months ago
Concatenate feature extraction for robust 3D elliptic object localization
Developing an efficient object localization system for complicated industrial objects is an important, yet difficult robotic task. To tackle this problem, we have developed a syst...
Yuichi Motai, Akio Kosaka