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» Local shape features for object recognition
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CVPR
2000
IEEE
15 years 11 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona
MIRAGE
2009
Springer
15 years 4 months ago
A Bag of Words Approach for 3D Object Categorization
In this paper we propose a novel framework for 3D object categorization. The object is modeled it in terms of its sub-parts as an histogram of 3D visual word occurrences. We introd...
Roberto Toldo, Umberto Castellani, Andrea Fusiello
79
Voted
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 4 months ago
GATMO: A Generalized Approach to Tracking Movable Objects
— We present GATMO (Generalized Approach to Tracking Movable Objects), a system for localization and mapping that incorporates the dynamic nature of the environment while maintai...
Garratt Gallagher, Siddhartha S. Srinivasa, J. And...
90
Voted
VMV
2008
170views Visualization» more  VMV 2008»
14 years 11 months ago
Robust contour-based object tracking integrating color and edge likelihoods
We present in this paper a novel object tracking system based on 3D contour models. For this purpose, we integrate two complimentary likelihoods, defined on local color statistics...
Giorgio Panin, Erwin Roth, Alois Knoll
DASFAA
2005
IEEE
209views Database» more  DASFAA 2005»
15 years 3 months ago
PADS: Protein Structure Alignment Using Directional Shape Signatures
A novel approach for similarity search on the protein structure databases is proposed. PADS (Protein Alignment by Directional shape Signatures) incorporates the three dimensional ...
S. Alireza Aghili, Divyakant Agrawal, Amr El Abbad...