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MVA
1998
154views Computer Vision» more  MVA 1998»
15 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
181
Voted

Publication
241views
15 years 6 months ago
Fast and Automatic Object Pose Estimation for Range Images on the GPU
We present a pose estimation method for rigid objects from single range images. Using 3D models of the objects, many pose hypotheses are compared in a data-parallel version of t...
In Kyu Park, Marcel Germann, Michael D. Breitenste...
TOG
2008
293views more  TOG 2008»
15 years 6 months ago
A perceptually validated model for surface depth hallucination
Capturing detailed surface geometry currently requires specialized equipment such as laser range scanners, which despite their high accuracy, leave gaps in the surfaces that must ...
Mashhuda Glencross, Gregory J. Ward, Francho Melen...
CVPR
2010
IEEE
16 years 2 months ago
Far-Sighted Active Learning on a Budget for Image and Video Recognition
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
Sudheendra Vijayanarasimhan, Prateek Jain, Kristen...
191
Voted
CVPR
2006
IEEE
16 years 8 months ago
Reconstruction with Interval Constraints Propagation
In this paper we demonstrate how Interval Analysis and Constraint Logic Programming can be used to obtain an accurate geometric model of a scene that rigorously takes into account...
Michela Farenzena, Andrea Fusiello, Agostino Dovie...