26 March 1986 Cylinder Detection And Measurement In Range Data
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Proceedings Volume 0635, Applications of Artificial Intelligence III; (1986) https://doi.org/10.1117/12.964136
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States
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.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Y. Li, "Cylinder Detection And Measurement In Range Data", Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964136; https://doi.org/10.1117/12.964136


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