Paper
24 February 1993 High-accuracy matching of object edges
Armin Gruen, Dirk Stallmann
Author Affiliations +
Proceedings Volume 1820, Videometrics; (1993) https://doi.org/10.1117/12.141370
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
In industrial measurement applications a great variety of tasks require the measurement of non-targeted ('natural') objects. Edges are important features of industrial objects. Visualization and texturing of objects is often achieved by structured light. This paper investigates an alternative approach based on diffuse illumination. It describes an extension of the Multi-Photo Geometrically Constrained (MPGC) matching algorithm which allows the dimensional positioning of these features. The algorithm is applied to edge tracking. The major algorithmic aspects will be addressed. Practical data from a demonstration object will be used in order to show potential and problems of this approach.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Armin Gruen and Dirk Stallmann "High-accuracy matching of object edges", Proc. SPIE 1820, Videometrics, (24 February 1993); https://doi.org/10.1117/12.141370
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Cited by 3 scholarly publications.
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KEYWORDS
Cameras

Detection and tracking algorithms

Visualization

Calibration

CCD cameras

Automatic tracking

Sensors

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