Abstract Dental anatomy is a field of anatomy dedicated to the study of tooth structure, it uses 3D physical model for teeth and jaw. Creating a computer aided design model from an existing teeth or jaw is called 3D scanning. This can be accomplished using different techniques like: LASER, camera, and many advanced optical techniques. In this work, Photogrammetry will be used, it is based on camera scanning technique. The input is a set of photographs taken by a camera from a predefined positions and orientations, and the output is a 3D model of a real-world teeth or jaw. Structure from Motion algorithm is used to 3D reconstruction from 2D images, it produces the point cloud and eventually the complete textured mesh. Our system is closed, where it controls scanning conditions in terms of lighting and angles of captured images.

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[20] Yao A., “Applications of 3D Scanning and Reverse Engineering Techniques for Quality Control of Quick Response Products,” The International Journal of Advanced Manufacturing Technology, vol. 26, no.11-12, pp. 1284-1288, 2005. Design of an Automated Extraoral Photogrammetry 3D Scanner 539 Musa AlYaman received the B.Eng. degree in computer engineering from University of Jordan, in 2004, the M.Eng. degree in Industrial Automation from Yarmouk University, in 2006, and the PhD in Image processing and Artificial Intelligence at Newcastle University, in 2015. He is currently an assistant professor and head of the department of Mechatronics Engineering at the University of Jordan. He has published several scientific papers in high impact factor and archival technical journals and conferences. His research interests include Embedded Systems Applications in Biomedical field, Industrial Automation, Intelligence Transportation Systems. Alaa Abd-Raheem received the B.Eng. degree in mechatronics engineering from University of Jordan, in 2018. She currently works as a research assistant at the German Jordanian University. Shehas published one scientific paper in high impact factor journal in elevator traffic design. Her research interests include Biomedical field, Industrial Automation, Deep Learning, Image Processing and Drives. Farah AlDeiri received the B.Eng. degree in mechatronics engineering from University of Jordan, in 2018. She currently works in the industrial automation field as well as in STEM education. Her research interests include Image Processing, Industrial Automation, Drives and Networking.