IEICE Electronics Express
Online ISSN : 1349-2543
ISSN-L : 1349-2543
LETTER
Autotuned feature detection to improve position based visual servoing
Khalid MahmoodNaeem Iqbal
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JOURNAL FREE ACCESS

2010 Volume 7 Issue 14 Pages 969-975

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Abstract

This paper tackles challenges of general realtime position based visual servoing without using model information. These are mainly speed limitations of suitably affordable vision processing system, generally reliable features and faithfully tracking the target to keep it in field of view. Feature detection is not only time consuming but also depends on actual feature parameters. The proposed autotuned feature detection enables the system in reaching a higher speed by reducing processing time and also has the advantage of easiest portability to another vision processing system. Simulations with real images and experiments have been conducted to prove the effectiveness of the method.

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© 2010 by The Institute of Electronics, Information and Communication Engineers
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