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3-D AUTOMATED RECONSTRUCTION OF MANUFACTURING PARTS FROM MULTIPLE RANGE IMAGES
3-D AUTOMATED RECONSTRUCTION OF MANUFACTURING PARTS FROM MULTIPLE RANGE IMAGES
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Napsiah Ismail1,2, Ng Sok Choo2, Juraina Md. Yusof2, Muhammad Saufi Mohd Kassim2, Khairuddin Abdul Rahman2
Email: (napsiah@eng.upm.edu.my, ashleyng99@yahoo.com, my_taskin@yahoo.com.sg )
Email: (napsiah@eng.upm.edu.my, ashleyng99@yahoo.com, my_taskin@yahoo.com.sg )
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Abstract
Abstract
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Nowadays, computer vision systems have been widely applied in manufacturing industry for controlling processes, event detection, object recognition and object modeling and reconstruction. The used of robots with vision in Flexible Manufacturing Cell (FMC) to reconstruct manufacturing parts can efficiently save cost and time. In this paper, the method of reconstructing three-dimensional (3D) model of manufacturing parts is described. We developed a vision system for FMC (IV-FMC) to reconstruct the 3D surface model of manufacturing parts. In the proposed method, range scanning from a laser is used to obtain dense range data in the form of 3D point cloud. The scanned object is then rotated in several angles, letting the system to obtain the full view of the whole object. These points are stored in database before they are retrieved later on and converted into triangular mesh that represents the object surface shape. The registered set of surface measurements is then combined to form a single 3D surface model through integration. We also discuss the hardware and software configuration of IV-FMC and the results obtained from system.
Keywords: Computer vision, reconstruction, three-dimensional (3D) model, Flexible Manufacturing Cell(FMC)
Nowadays, computer vision systems have been widely applied in manufacturing industry for controlling processes, event detection, object recognition and object modeling and reconstruction. The used of robots with vision in Flexible Manufacturing Cell (FMC) to reconstruct manufacturing parts can efficiently save cost and time. In this paper, the method of reconstructing three-dimensional (3D) model of manufacturing parts is described. We developed a vision system for FMC (IV-FMC) to reconstruct the 3D surface model of manufacturing parts. In the proposed method, range scanning from a laser is used to obtain dense range data in the form of 3D point cloud. The scanned object is then rotated in several angles, letting the system to obtain the full view of the whole object. These points are stored in database before they are retrieved later on and converted into triangular mesh that represents the object surface shape. The registered set of surface measurements is then combined to form a single 3D surface model through integration. We also discuss the hardware and software configuration of IV-FMC and the results obtained from system.
Keywords: Computer vision, reconstruction, three-dimensional (3D) model, Flexible Manufacturing Cell(FMC)
1Department of Mechanical and Manufacturing Engineering,Faculty of Engineering,Universiti Putra Malaysia43400 UPM, Selangor, Malaysia.
2Intelligent System and Robotics Laboratory,Institute of Advanced Technology,Universiti Putra Malaysia43400 UPM, Selangor, Malaysia.
Paper 35, pg 306-313Napsiah Ismail, Ng Sok Choo, Juraina Md. Yusof, Muhammad Saufi Mohd. Kassim, Khairuddin Abdul Rahman (UPM) 3-D AUTOMATED RECONSTRUCTION OF MANUFACTURING PARTS FROM MULTIPLE RANGE IMAGES
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