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84
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DAGM
2005
Springer
15 years 4 months ago
Improving a Discriminative Approach to Object Recognition Using Image Patches
In this paper we extend a method that uses image patch histograms and discriminative training to recognize objects in cluttered scenes. The method generalizes and performs well for...
Thomas Deselaers, Daniel Keysers, Hermann Ney
99
Voted
ACIVS
2009
Springer
14 years 8 months ago
Concealed Object Perception and Recognition Using a Photometric Stereo Strategy
Abstract. Following a review of current hidden objects detection techniques in a range of security applications, a strategy based on an innovative, low-cost photometric stereo tech...
Jiuai Sun, Melvyn L. Smith, Abdul R. Farooq, Lyndo...
97
Voted
ICPR
2000
IEEE
16 years 11 hour 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...
78
Voted
CVPR
2003
IEEE
16 years 29 days ago
Object Recognition Based on Photometric Alignment Using RANSAC
For object recognition under varying illumination conditions, we propose a method based on photometric alignment. The photometric alignment is known as a technique that models bot...
Takahiro Okabe, Yoichi Sato
84
Voted
ICPR
2004
IEEE
16 years 1 days ago
Object Recognition Using Composed Receptive Field Histograms of Higher Dimensionality
Recent work has shown that effective methods for recognising objects or spatio-temporal events can be constructed based on receptive field responses summarised into histograms or ...
Oskar Linde, Tony Lindeberg