Complex Surface Inspection Based on the Minimum Zone Criterion

DOI

10.2991/iiicec-15.2015.102How to use a DOI?

Keywords

Surface inspection; Registration; Minimum Zone Criterion

Abstract

Although there have been many studies in free-form surface inspection, it remains a difficult problem in application because of different inspection results resulted from various registration methods. Accurate registration is vital in precision manufacturing. Otherwise, rejection of some qualified parts would occur. A new registration method is presented to find the spatial transformation with which the surface error range is minimized. A smooth function is used to approximate uniformly the objective function of the registration to deal with the computational intractability. The limited-memory Quasi-Newton algorithm is prevalent for large-scale optimization problem. It is a differentiable unconstrained optimization method, which only need to provide the function and gradient values of the objective function. The proposed method is easily implemented and works well for dense measurement points. Experiments justify the superiority of the proposed algorithm.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gaoshan Tan
AU  - Liyan Zhang
PY  - 2015/03
DA  - 2015/03
TI  - Complex Surface Inspection Based on the Minimum Zone Criterion
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 446
EP  - 449
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.102
DO  - 10.2991/iiicec-15.2015.102
ID  - Tan2015/03
ER  -