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» Image Processing: Principles and Applications
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161
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ICDS
2010
IEEE
15 years 10 months ago
e-Fraud Prevention Based on the Self-Authentication of e-Documents
—We consider a method for preventing e-Fraud in which a binary image is encrypted with a floating point cipher using a convolution operation and the output quantized into a 1-bi...
J. M. Blackledge, E. Coyle
126
Voted
CVPR
1997
IEEE
15 years 7 months ago
Physically based fluid flow recovery from image sequences
This paper presents an approach to measuring fluid flow from image sequences. The approach centers around a motion recovery algorithm that is based on principles from fluid mechan...
Richard P. Wildes, Michael J. Amabile, Ann-Marie L...
ICIP
2004
IEEE
16 years 5 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
196
Voted
ICASSP
2010
IEEE
15 years 2 months ago
Human detection in images via L1-norm Minimization Learning
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao
PRL
2002
128views more  PRL 2002»
15 years 3 months ago
Dynamic flies: a new pattern recognition tool applied to stereo sequence processing
The "fly algorithm" is a fast artificial evolution-based technique devised for the exploration of parameter space in pattern recognition applications. In the application...
Jean Louchet, Maud Guyon, Marie-Jeanne Lesot, Amin...