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» Improving Difference Operators by Local Feature Detection
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ICPR
2004
IEEE
14 years 9 months ago
Corner Detection Using Support Vector Machines
A support vector machine based algorithm for corner detection is presented. It is based on computing the direction of maximum gray-level change for each edge pixel in an image, an...
Malay K. Kundu, Minakshi Banerjee, Pabitra Mitra
ICPR
2004
IEEE
14 years 9 months ago
Robust Local Max-Min Filters by Normalized Power-Weighted Filtering
A normalized, power-weighted averaging filter (NPF) is a very good approximation to the well-know local maximum and minimum filters along the object edges and offers noise reducti...
Lucas J. van Vliet
CEC
2010
IEEE
13 years 9 months ago
A mixed strategy for Evolutionary Programming based on local fitness landscape
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...
Liang Shen, Jun He
IPPS
2009
IEEE
14 years 2 months ago
Sparse collective operations for MPI
Abstract—We discuss issues in designing sparse (nearest neighbor) collective operations for communication and reduction operations in small neighborhoods for the Message Passing ...
Torsten Hoefler, Jesper Larsson Träff
IROS
2009
IEEE
129views Robotics» more  IROS 2009»
14 years 2 months ago
Using symmetrical regions of interest to improve visual SLAM
— Simultaneous Localization and Mapping (SLAM) based on visual information is a challenging problem. One of the main problems with visual SLAM is to find good quality landmarks,...
Gert Kootstra, Lambert Schomaker