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» Object recognition using graph spectral invariants
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IBPRIA
2007
Springer
14 years 3 months ago
Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
ISVC
2010
Springer
13 years 7 months ago
How to Overcome Perceptual Aliasing in ASIFT?
SIFT is one of the most popular algorithms to extract points of interest from images. It is a scale+rotation invariant method. As a consequence, if one compares points of interest ...
Nicolas Noury, Frédéric Sur, Marie-O...
ICPR
2006
IEEE
14 years 10 months ago
Bin-Picking based on Harmonic Shape Contexts and Graph-Based Matching
In this work we address the general bin-picking problem where 3D data is available. We apply Harmonic Shape Contexts (HSC) features since these are invariant to translation, scale...
Jakob Kirkegaard, Thomas B. Moeslund
PR
2007
143views more  PR 2007»
13 years 8 months ago
Shadow resistant tracking using inertia constraints
In this paper, we present a new method for tracking objects with shadows. Traditional motion-based tracking schemes cannot usually distinguish the shadow from the object itself, a...
Hao Jiang, Mark S. Drew
CVPR
2009
IEEE
15 years 4 months ago
A Tensor-Based Algorithm for High-Order Graph Matching
This paper addresses the problem of establishing correspondences between two sets of visual features using higher-order constraints instead of the unary or pairwise ones used in...
Francis R. Bach, In-So Kweon, Jean Ponce, Olivier ...