Title :
Machine vision based 3D scanning system
Author_Institution :
Dept. of Mech. Eng., Nat. Yunlin Univ. of Sci. & Technol., Douliou, Taiwan
Abstract :
This study presents a low-cost scanning system for acquiring 3D geometry and texture information of large objects and for performing multi-scanning patch registration to obtain a whole realistic 3D model. The proposed system is composed of a line-stripe laser and a color CCD camera. The scanning processes consist of three steps. In the first step, the 3D depth information of the scanned object is obtained by laser triangulation. Subsequently, the texture of the scanned object is obtained by using a color CCD camera. In the final step, multiple scan patches are registered together to merge into a complete vivid 3D model. This study presents standard off-the-shelf hardware and software framework to implement a 3D measuring system. Experiments on the proposed method yielded very good results, for example, we constructed a big fortune cat model from the sixteen multi-scanned patches.
Keywords :
CCD image sensors; computer vision; image registration; image texture; object recognition; optical scanners; realistic images; 3D depth information; 3D geometry; 3D measuring system; 3D scanning system; big fortune cat model; color CCD camera; laser triangulation; line-stripe laser; machine vision; multiscanning patch registration; realistic 3D model; scanned object texture; texture information; Charge coupled devices; Charge-coupled image sensors; Geometrical optics; Hardware; Information geometry; Laser modes; Machine vision; Measurement standards; Software standards; Solid modeling; 3D measurement; 3D model construction; 3D scan registration;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274045
