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GBRPR
2007
Springer
15 years 7 months ago
Constellations and the Unsupervised Learning of Graphs
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
Boyan Bonev, Francisco Escolano, Miguel Angel Loza...
167
Voted
ECCV
2002
Springer
16 years 5 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
15 years 10 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
ICRA
2010
IEEE
267views Robotics» more  ICRA 2010»
15 years 2 months ago
FLIRT - Interest regions for 2D range data
— Local image features are used for a wide range of applications in computer vision and range imaging. While there is a great variety of detector-descriptor combinations for imag...
Gian Diego Tipaldi, Kai Oliver Arras
ICIP
2006
IEEE
16 years 5 months ago
Fast Construction of Covariance Matrices for Arbitrary Size Image Windows
We propose an integral image based algorithm to extract feature covariance matrices of all possible rectangular regions within a given image. Covariance is an essential indicator ...
Fatih Porikli, Oncel Tuzel