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Optical Engineering

Segmentation of noisy range images using the small-scale planarity of man-made vehicles
Author(s): Michael C. Roggemann; James P. Mills; Steven K. Rogers; Matthew Kabrisky
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Paper Abstract

Segmentation ofvehicles in natural backgrounds using absolute range imagery is considered. The segmentation technique exploits the small-scale planarity of man-made vehicles without explicit use of surface orientation information. A planarity test is used as the initial step in partitioning man-made vehicles from natural backgrounds. The planarity test is based on an estimate of the statistics of the absolute value of the error associated with fitting planes to small regions of the Cartesian coordinates of range image pixels. The planarity test is developed as a function of the standard deviation of the noise associated with range measurements. Heuristics used in conjunction with this algorithm are also presented. This algorithm has been evaluated on a database of 57 real range images, and results are presented. Application of the algorithm to two specific cases is shown in detail.

Paper Details

Date Published: 1 April 1991
PDF: 7 pages
Opt. Eng. 30(4) doi: 10.1117/12.55811
Published in: Optical Engineering Volume 30, Issue 4
Show Author Affiliations
Michael C. Roggemann, U.S. Air Force (United States)
James P. Mills, Environmental Research Inst. of Michigan (United States)
Steven K. Rogers, Air Force Institute of Technology (United States)
Matthew Kabrisky, Air Force Institute of Technology (United States)

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