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WACV
2005
IEEE
14 years 2 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
CLOR
2006
14 years 19 days ago
3D Object Modeling and Recognition from Photographs and Image Sequences
This chapter proposes a representation of rigid three-dimensional (3D) objects in terms of local affine-invariant descriptors of their images and the spatial relationships between ...
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmi...
CP
1998
Springer
14 years 1 months ago
Constraints for Object Recognition in Aerial Images - Handling of Unobserved Features
In this paper we will show how constraint solving methods can be applied for the recognition of buildings in aerial images. Object models are transformed to constraint representati...
Thomas H. Kolbe
CORR
2010
Springer
108views Education» more  CORR 2010»
13 years 6 months ago
Affine Invariant, Model-Based Object Recognition Using Robust Metrics and Bayesian Statistics
We revisit the problem of model-based object recognition for intensity images and attempt to address some of the shortcomings of existing Bayesian methods, such as unsuitable prior...
Vasileios Zografos, Bernard F. Buxton
IBPRIA
2005
Springer
14 years 2 months ago
Discriminative Face Recognition Through Gabor Responses and Sketch Distortion
We present an inherently discriminative approach to face recognition. This is achieved by automatically selecting key points from lines that sketch the face and extracting textural...
Daniel González-Jiménez, José...