Object with symmetrical pattern recognition with dynamic size filter

This paper presents the implementation of object with symmetrical pattern recognition algorithm for 2D vision system of 3D vision-based multi sensor feedback system. This paper also discusses the dynamic size filter developed for this system. The inputs for this system are received from a couple of...

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Bibliographic Details
Main Authors: Syed Mohamad Shazali, Syed Abdul Hamid, Mohd Aras, Mohd Shahrieel, Abdul Azis, Fadilah, Ali, Fara Ashikin, Anuar , Mohamed Kassim
Format: Conference or Workshop Item
Published: 2011
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/6716/
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6163823&contentType=Conference+Publications&searchWithin%3Dobject+with%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6163686%29
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Institution: Universiti Teknikal Malaysia Melaka
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Summary:This paper presents the implementation of object with symmetrical pattern recognition algorithm for 2D vision system of 3D vision-based multi sensor feedback system. This paper also discusses the dynamic size filter developed for this system. The inputs for this system are received from a couple of webcams which is not calibrated. The project objective is to assist a robot arm system using vision system for making decision during conducting an operation or task. The solutions need no camera calibration because the system has self-calibration effect since the area of interest had modelled using a set of algorithms by an array of visible features on it and not by it environment. This system is design for on-event processes and suitable for indoor environment applications with low time frame rate camera. One of the advantages of this project is that it only used a camera and image processing generated by the algorithms itself without additional sensor such as sonar or IR sensor.