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» Application of Level Set Methods in Computer Vision
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SETN
2004
Springer
16 years 3 days ago
An Intelligent System for Aerial Image Retrieval and Classification
Content based image retrieval is an active research area of pattern recognition. A new method of extracting global texture energy descriptors is proposed and it is combined with fe...
Antonios Gasteratos, Panagiotis Zafeiridis, Ioanni...
ICGA
1997
133views Optimization» more  ICGA 1997»
15 years 8 months ago
Messy Genetic Algorithms for Subset Feature Selection
Subset Feature Selection problems can have severalattributes which may make Messy Genetic Algorithms an appropriateoptimization method. First, competitive solutions may often use ...
L. Darrell Whitley, J. Ross Beveridge, Cesar Guerr...
TNN
2008
141views more  TNN 2008»
15 years 6 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
ETRA
2008
ACM
119views Biometrics» more  ETRA 2008»
15 years 8 months ago
A software framework for simulating eye trackers
We describe an open-source software framework that simulates the measurements made using one or several cameras in a videooculographic eye tracker. The framework can be used to co...
Martin Böhme, Michael Dorr, Mathis Graw, Thom...
170
Voted
CGF
2008
89views more  CGF 2008»
15 years 6 months ago
Enhancement of Bright Video Features for HDR Displays
To utilize the full potential of new high dynamic range (HDR) displays, a system for the enhancement of bright luminous objects in video sequences is proposed. The system classifi...
Piotr Didyk, Rafal Mantiuk, Matthias Hein, Hans-Pe...