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ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 26 days ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
CVPR
2006
IEEE
14 years 8 months ago
Automatic Discovery of Action Taxonomies from Multiple Views
We present a new method for segmenting actions into primitives and classifying them into a hierarchy of action classes. Our scheme learns action classes in an unsupervised manner ...
Daniel Weinland, Rémi Ronfard, Edmond Boyer
ISVC
2010
Springer
13 years 4 months ago
Exploiting Multiple Cameras for Environmental Pathlets
Abstract. We present a novel multi-camera framework to extract reliable pathlets [1] from tracking data. The proposed approach weights tracks based on their spatial and orientation...
Kevin Streib, James W. Davis
MVA
1998
154views Computer Vision» more  MVA 1998»
13 years 7 months ago
Clustering of Learning Images and Generation of Multiple Prototypes for Object Recognition
common features in all learning objects only. The In this paper, we propose two methods of clustering learning images to generate prototypes automatically for object recognition. O...
Jin Jia, Keiichi Abe
ICML
2006
IEEE
14 years 7 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani