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A 3D vision-based inspection method for pairwise comparison of locally deformable 3D models

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Abstract

In this work we present a pairwise 3D vision-based inspection method for comparing locally deformable 3D models which refers to models whose parts have undergone some local deformation or change while the rest of the parts remained rigid and intact. In general, local deformations result from two types of transformations: non-volume conservative transformations caused by either the inflation or the deflation of models’ parts and volume conservative transformations caused by bending, twisting, rotation or displacement of either internal or external parts of the model. The internal parts are the middle parts of an object, while the external parts are the parts on the extremity or the end of a part. We have experimented with different cases of deformations on man-made objects and mechanical parts for industrial inspection of possible defects, and for quality control purposes as well. We have also applied our pairwise comparison method on parts of the human body. Examples relevant to medical applications are the detection and inspection of a lesion which are also tested in this work. Our algorithm is not only successful for detecting local change but it also achieves high-accuracy results comparable to other well-known registration and industrial inspection techniques.

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Notes

  1. http://www.3dreshaper.com/en1/En_Inspection2.html.

  2. http://www.innovmetric.com/polyworks/3D-scanners/home.aspx?lang=en.

  3. http://www.3dreshaper.com/en1/En_Inspection2.html.

  4. http://www.creaform3d.com/en/applications/aerospace/3d-modelling-phased-array-inspection.

  5. http://www.goscan3d.com/en.

  6. http://www.creaform3d.com/en/metrology-solutions/optical-3d-scanner-metrascan.

  7. http://www.artec3d.com/.

  8. http://sourceforge.net/projects/meshlab/files/meshlab/MeshLab%20v1.3.1/.

  9. http://www.mathworks.com/matlabcentral/fileexchange/36316-local-depth-sift-and-scale-invariant-spin-image-local-features-for-3d-meshes.

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Acknowledgments

We would like to thank Suzette Ali and Peyman Hedayati for their pertinent ideas in suggesting ways of deforming the 3D models of our experiments. We would also like to thank Denis Ouellet for designing the CAD models to test the accuracy of our method. Access to the 3D printer used for building the models was gracefully Granted to us by Prof. Clément Gosselin at the Department of Mechanical Engineering at Laval University. We want to thank the reviewers for their valuable comments in improving this article. This work was supported by the NSERC/Creaform Industrial Research Chair on 3D scanning and by the FRQ-NT REPARTI research center Grant.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Laval University, Quebec, G1V 0A6, Canada

    Sarah Ali, Zahra Toony & Denis Laurendeau

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  1. Sarah Ali
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  2. Zahra Toony
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  3. Denis Laurendeau
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Correspondence to Sarah Ali.

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Ali, S., Toony, Z. & Laurendeau, D. A 3D vision-based inspection method for pairwise comparison of locally deformable 3D models. Machine Vision and Applications 26, 1061–1078 (2015). https://doi.org/10.1007/s00138-015-0711-0

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  • DOI: https://doi.org/10.1007/s00138-015-0711-0

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