Three dimensional reconstruction of irregular industrial sheetmetal parts based on structured light

Jianqing Zhang; Li Zheng

doi:10.1117/12.655020

3 November 2005 Three dimensional reconstruction of irregular industrial sheetmetal parts based on structured light

Jianqing Zhang, Li Zheng

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60432M (2005) https://doi.org/10.1117/12.655020
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

On the basis of the rigorous theories of the digital photogrammetry and the latest research achievements in computer vision and image processing pattern recognition, it is studied for three dimensional(3-D) reconstruction of irregular industrial sheetmetal parts by using the projector and CCD camera in this paper. As the surface of sheetmetal parts is short of the applicable texture for image matching, it is designed that structured light from the projector is projected onto the surface of sheetmetal parts as it were put on an available texture artificially. Supposed that the image acquired from CCD camera is the left image and the suppositional image from the projector is the right image. Then the image acquired from CCD camera is made edge detection, in which the extracted curves are made curve matching with the suppositional lines from the projector. While made fully use of the feature of the right image obtained from the projector and collinearity equations, the spacial point coordinates on the surface of the sheetmetal parts are obtained quickly by space intersection. Then 3-D reconstruction of the sheetmetal parts is completed after merging all the models. The untouched method which has high efficiency and strong flexibility can be successfully adapted to reconstruct various kinds of shapes and some soft objects.

Citation Download Citation

Jianqing Zhang and Li Zheng "Three dimensional reconstruction of irregular industrial sheetmetal parts based on structured light", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60432M (3 November 2005); https://doi.org/10.1117/12.655020

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