Efficient algorithm for error elimination from surface measurement generated by a mechanical probe

Mahnaz Akbary-Safa; Ibrahim I. Esat; Colin B. Besant

doi:10.1117/12.19758

1 August 1990 Efficient algorithm for error elimination from surface measurement generated by a mechanical probe

Mahnaz Akbary-Safa, Ibrahim I. Esat, Colin B. Besant

Proceedings Volume 1251, Curves and Surfaces in Computer Vision and Graphics; (1990) https://doi.org/10.1117/12.19758
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

Abstract

A surface measurement performed using a coordinate measuring machine with a mechanical probe may result in errors due to the contact point not being coincident with the recording point on the probe. The error between the recorded point and the surface is a function of the probe geometry and the surface shape. Typically the measured surface is represented by a point table recorded at equal intervals. A conventional way of generating the 'true' surface from the recorded points is based on parametric surface patches. This is applicable as the points are regularly distributed on the surface. All the information necessary to identify the real surface is provided by the orthogonal vector to the surface together with the probe shape. The disadvantages of this method are computational inefficiency, but more importantly there is loss of information resulting from the interpolation techniques used. This information could be vital, especially where surface discontinuities occur. The method proposed in this paper does not use surface patches as the basis of its approach. The information about the 'true' surface is directly extracted from the measured point table by a simple search algorithm. This paper presents the search algorithm results to verify it.

Citation Download Citation

Mahnaz Akbary-Safa, Ibrahim I. Esat, and Colin B. Besant "Efficient algorithm for error elimination from surface measurement generated by a mechanical probe", Proc. SPIE 1251, Curves and Surfaces in Computer Vision and Graphics, (1 August 1990); https://doi.org/10.1117/12.19758

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