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» On the design of robust classifiers for computer vision
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ICRA
2007
IEEE
201views Robotics» more  ICRA 2007»
14 years 1 months ago
Realtime and Robust Motion Tracking by Matched Filter on CMOS+FPGA Vision System
— This paper describes realtime and robust tracking of a planar motion target by matched filter implemented on the CMOS+FPGA vision system. It is required to obtain positional a...
Kazuhiro Shimizu, Shinichi Hirai
PAMI
2002
112views more  PAMI 2002»
13 years 7 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
ICPR
2004
IEEE
14 years 8 months ago
On Classifier Domains of Competence
We study the domain of dominant competence of six popular classifiers in a space of data complexity measurements. We observe that the simplest classifiers, nearest neighbor and li...
Ester Bernadó i Mansilla, Tin Kam Ho
VLUDS
2010
270views Visualization» more  VLUDS 2010»
13 years 2 months ago
Detection and Identification Techniques for Markers Used in Computer Vision
This paper summarizes and compares techniques for detecting and identifying markers in the context of computer vision. Existing approaches use correlation, digital, or topological...
Johannes Köhler, Alain Pagani, Didier Stricke...
WSCG
2001
167views more  WSCG 2001»
13 years 8 months ago
Component-Based Architectures for Computer Vision Systems
Research performed in the field of computer vision has steadily ignored recent advances in programming tools and techniques, relying on well-established traditional methods, such ...
A. Economopoulos, Drakoulis Martakos