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DETECTION AND ROBUST
Featured Paper by

Yun-Ting Su and James Bethel

The objective of this work is to develop new methods for efficient automatic 3D modeling of existing industrial installations from point cloud data. Traditionally, cylinder feature extraction algorithms utilize 5D Hough transforms, resulting in impractically high computational complexity. A more efficient approach uses a 2D Hough transform to estimate orientation followed by a 3D Hough transform to detect position, but still has extensive runtimes and lacks robustness in dense point cloud data.
Purdue University

Trimble
Teledyne Optech
University of Denver GIS Masters Degree Online
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