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ICPR
2008
IEEE
14 years 2 months ago
Flexible object recognition in cluttered scenes using relative point distribution models
This paper introduces an edge-based object recognition method that is robust with respect to clutter, occlusion and object deformations. The method combines the use of local featu...
Alexandros Bouganis, Murray Shanahan
BMVC
2002
13 years 10 months ago
Object Recognition by a Cascade of Edge Probes
We frame the problem of object recognition from edge cues in terms of determining whether individual edge pixels belong to the target object or to clutter, based on the configurat...
Owen T. Carmichael, Martial Hebert
ICPR
2000
IEEE
14 years 9 months ago
Invariant Image Object Recognition Using Mixture Densities
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Mar...
MVA
2007
127views Computer Vision» more  MVA 2007»
13 years 9 months ago
Appearance Manifold with Embedded Covariance Matrix for Robust 3D Object Recognition
We propose use of an appearance manifold with embedded covariance matrix as a technique for recognizing 3D objects from images that are influenced by geometric and quality-degrade...
Lina, Tomokazu Takahashi, Ichiro Ide, Hiroshi Mura...
ECCV
1998
Springer
14 years 9 months ago
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
Many object classes, including human faces, can be modeled as a set of characteristic parts arranged in a variable spatial con guration. We introduce a simpli ed model of a deforma...
Michael C. Burl, Markus Weber, Pietro Perona