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Pipeline reconstruction from fisheye images

Conference Paper


Abstract


  • Automatic inspection of pipelines has great potential to increase the efficiency and objectivity of pipeline condition assessment. 3-D pipeline reconstruction aims to reveal the deformation of the pipe surface caused by internal or external influences. We present a system which can reconstruct the inner surface of buried pipelines from multiple fisheye images captured inside the pipes. Whereas the pipelines are huge, a fatal defect can be as tiny as a fine crack. Therefore a reliable system demands both efficiency and accuracy. The repetitive patterns on the pipe surface and the poor illumination condition during photographing further increase the difficulty of the reconstruction. We combine several successful methods found in the literature as well as new methods proposed by ourselves. The proposed system can reconstruct pipe surface not only accurately but also quickly. Experiments have been carried out on real pipe images and show promising performance.

Publication Date


  • 2011

Citation


  • Zhang, Y., Hartley, R., Mashford, J., Wang, L., & Burn, S. (2011). Pipeline reconstruction from fisheye images. In 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings (pp. 49-57).

Scopus Eid


  • 2-s2.0-84861321844

Web Of Science Accession Number


Start Page


  • 49

End Page


  • 57

Abstract


  • Automatic inspection of pipelines has great potential to increase the efficiency and objectivity of pipeline condition assessment. 3-D pipeline reconstruction aims to reveal the deformation of the pipe surface caused by internal or external influences. We present a system which can reconstruct the inner surface of buried pipelines from multiple fisheye images captured inside the pipes. Whereas the pipelines are huge, a fatal defect can be as tiny as a fine crack. Therefore a reliable system demands both efficiency and accuracy. The repetitive patterns on the pipe surface and the poor illumination condition during photographing further increase the difficulty of the reconstruction. We combine several successful methods found in the literature as well as new methods proposed by ourselves. The proposed system can reconstruct pipe surface not only accurately but also quickly. Experiments have been carried out on real pipe images and show promising performance.

Publication Date


  • 2011

Citation


  • Zhang, Y., Hartley, R., Mashford, J., Wang, L., & Burn, S. (2011). Pipeline reconstruction from fisheye images. In 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings (pp. 49-57).

Scopus Eid


  • 2-s2.0-84861321844

Web Of Science Accession Number


Start Page


  • 49

End Page


  • 57