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Proceedings Paper

Volume reconstruction by using 4D object surface data
Author(s): Aloysius Wehr; M. Ioannides
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Paper 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.

Paper Details

Date Published: 1 March 1994
PDF: 8 pages
Proc. SPIE 2252, Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, (1 March 1994); doi: 10.1117/12.169846
Show Author Affiliations
Aloysius Wehr, Univ. of Stuttgart (Germany)
M. Ioannides, Univ. of Stuttgart (Germany)


Published in SPIE Proceedings Vol. 2252:
Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics

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