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ACCV
2007
Springer
15 years 9 months ago
Learning a Fast Emulator of a Binary Decision Process
Abstract. Computation time is an important performance characteristic of computer vision algorithms. This paper shows how existing (slow) binary-valued decision algorithms can be a...
Jan Sochman, Jiri Matas

Lecture Notes
1005views
17 years 3 months ago
Lectures on reconfigurable computing
Driven by recent innovations in Field-Programmable Gate Arrays (FPGAs), reconfigurable computing offers unique ways to accelerate key algorithms. FPGAs offer a programmable logic f...
Sherief Reda
CVPR
2008
IEEE
16 years 5 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
GECCO
2005
Springer
209views Optimization» more  GECCO 2005»
15 years 8 months ago
Genetic algorithm optimization of superresolution parameters
Superresolution is the process of producing a high resolution image from a collection of low resolution images. This process has potential application in a wide spectrum of fields...
Barry Ahrens
IJCV
2002
148views more  IJCV 2002»
15 years 3 months ago
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
Stereo matching is one of the most active research areas in computer vision. While a large number of algorithms for stereo correspondence have been developed, relatively little wo...
Daniel Scharstein, Richard Szeliski