Volume reconstruction by using 4D object surface data

Aloysius Wehr; M. Ioannides

doi:10.1117/12.169846

1 March 1994 Volume reconstruction by using 4D object surface data

Aloysius Wehr, M. Ioannides

Proceedings Volume 2252, Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics; (1994) https://doi.org/10.1117/12.169846
Event: Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, 1993, Zurich, Switzerland

Abstract

Today noncontacting optical 3D digitizers feature high sampling rates and are capable of obtaining highly resolved 3D images of object surfaces. In general these digital-range images contain a large amount of data and require powerful computers and large memories for further processing. It is shown that the number of data can be reduced by eliminating the redundant information contained in digital range images by applying pattern recognition techniques. Surface generation, contour lines generation, triangulation, and volume generation are explained for the different operation levels with respect to CAD/CAM.

Citation Download Citation

Aloysius Wehr and M. Ioannides "Volume reconstruction by using 4D object surface data", Proc. SPIE 2252, Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, (1 March 1994); https://doi.org/10.1117/12.169846

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