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» A General Method for Feature Matching and Model Extraction
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ACCV
2010
Springer
13 years 8 months ago
Abstraction and Generalization of 3D structure for recognition in large intra-class variation
Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
Gowri Somanath, Chandra Kambhamettu
EP
1998
Springer
13 years 11 months ago
A Window-Based Method for Automatic Typographic Parameter Extraction
The synthesis of existing fonts with characters represented by parametrized structure elements requires determining a set of font-specific global and local parameters. Parameters c...
Jacky Hertz, Changyuan Hu, Jakob Gonczarowski, Rog...
ICASSP
2009
IEEE
14 years 2 months ago
Compression of image patches for local feature extraction
Local features are widely used for content-based image retrieval and object recognition. We present an efficient method for encoding digital images suitable for local feature extr...
Mina Makar, Chuo-Ling Chang, David M. Chen, Sam S....
CVPR
2009
IEEE
15 years 2 months ago
Learning Shape Prior Models for Object Matching
The aim of this work is to learn a shape prior model for an object class and to improve shape matching with the learned shape prior. Given images of example instances, we can le...
Cordelia Schmid, Frédéric Jurie, Tin...
ICCV
2001
IEEE
14 years 9 months ago
A General Imaging Model and a Method for Finding its Parameters
Linear perspective projection has served as the dominant imaging model in computer vision. Recent developments in image sensing make the perspective model highly restrictive. This...
Michael D. Grossberg, Shree K. Nayar