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» From a Set of Shapes to Object Discovery
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CVPR
2008
IEEE
13 years 9 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
IJON
2007
74views more  IJON 2007»
13 years 7 months ago
Visual object concept discovery: Observations in congenitally blind children, and a computational approach
Over the course of the first few months of life, our brains accomplish a remarkable feat. They are able to interpret complex visual images so that instead of being just disconnec...
Jake V. Bouvrie, Pawan Sinha
CGI
1998
IEEE
13 years 12 months ago
Graph-Based Surface Reconstruction Using Structures in Scattered Point Sets
We present an algorithm for the reconstruction of a surface from an unorganized set of points in space. The point data may be obtained from a laser range scanner or any other digi...
Robert Mencl, Heinrich Müller
MEMICS
2010
13 years 2 months ago
Simultaneous Tracking of Multiple Objects Using Fast Level Set-Like Algorithm
A topological flexibility of implicit active contours is of great benefit, since it allows simultaneous detection of several objects without any a priori knowledge about their num...
Martin Maska, Pavel Matula, Michal Kozubek
COSIT
2003
Springer
106views GIS» more  COSIT 2003»
14 years 27 days ago
Tripartite Line Tracks Qualitative Curvature Information
Abstract. We present a qualitative shape description which has previously been proven to be useful for object categorisation. The description is based on a set of shape primitives ...
Björn Gottfried