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EMMCVPR
2005
Springer
14 years 1 months ago
Object Categorization by Compositional Graphical Models
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
Björn Ommer, Joachim M. Buhmann
IJCV
2008
241views more  IJCV 2008»
13 years 7 months ago
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
Jim Mutch, David G. Lowe
AAAI
1990
13 years 8 months ago
Generalized Shape Autocorrelation
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
Andrea Califano, Rakesh Mohan
CVPR
2006
IEEE
14 years 9 months ago
Multiclass Object Recognition with Sparse, Localized Features
We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model modifies that of Serre, Wolf, and Poggio. As in that...
Jim Mutch, David G. Lowe
IJCGA
2008
179views more  IJCGA 2008»
13 years 7 months ago
Computing the Hausdorff Distance between Curved Objects
The Hausdorff distance between two sets of curves is a measure for the similarity of these objects and therefore an interesting feature in shape recognition. If the curves are alg...
Helmut Alt, Ludmila Scharf