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» Randomness and Geometric Features in Computer Vision
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TIP
2008
287views more  TIP 2008»
13 years 7 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis
ICCV
2005
IEEE
14 years 9 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
ICCV
2009
IEEE
15 years 14 days ago
What is the Best Multi-Stage Architecture for Object Recognition?
In many recent object recognition systems, feature extraction stages are generally composed of a filter bank, a non-linear transformation, and some sort of feature pooling layer...
Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio R...
ICCV
2005
IEEE
14 years 1 months ago
Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping
Face recognition and many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. In brain imaging, surfac...
Yalin Wang, Ming-Chang Chiang, Paul M. Thompson
IJCV
2006
117views more  IJCV 2006»
13 years 7 months ago
Programmable Imaging: Towards a Flexible Camera
In this paper, we introduce the notion of a programmable imaging system. Such an imaging system provides a human user or a vision system significant control over the radiometric an...
Shree K. Nayar, Vlad Branzoi, Terrance E. Boult