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Proceedings Paper

Cylinder Detection And Measurement In Range Data
Author(s): Robert Y. Li
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Paper Abstract

This paper is concerned with the problem of detecting and measuring cylindrical objects in range data. Two different approaches are developed for the detection phase. The first approach involves a sequential process of segmenting and classifying every potential surfaces. The classification is based on the decomposition of a quadratic surface model. The second approach utilizes the Hough transform to detect the cylindrical pixels. The transform may produce significant clusters in the parameter space. By performing least square fit to those detected pixels, one can derive useful information about sizes and locations of the cylindrical objects. Synthetic range images are generated to test these ideas.

Paper Details

Date Published: 26 March 1986
PDF: 9 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964136
Show Author Affiliations
Robert Y. Li, Lockheed Research Laboratory (United States)


Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)

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