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Proceedings Paper

Surface Location In Scene Content Analysis
Author(s): E. L. Hall; J. B. K. Tio; C. A. McPherson; J. J. Hwang
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Paper Abstract

The purpose of this paper is to describe techniques and algorithms for the location in three dimensions of planar and curved object surfaces using a computer vision approach. Stereo imaging techniques are demonstrated for planar object surface location using automatic segmentation, vertex location and relational table matching. For curved surfaces, the locations of corresponding 'points is very difficult. However, an example using a grid projection technique for the location of the surface of a curved cup is presented to illustrate a solution. This method consists of first obtaining the perspective transformation matrix from the images, then using these matrices to compute the three dimensional point locations of the grid points on the surface. These techniques may be used in object location for such applications as missile guidance, robotics, and medical diagnosis and treatment.

Paper Details

Date Published: 7 December 1981
PDF: 18 pages
Proc. SPIE 0292, Processing of Images and Data from Optical Sensors, (7 December 1981); doi: 10.1117/12.932826
Show Author Affiliations
E. L. Hall, The University of Tennessee (United States)
J. B. K. Tio, The University of Tennessee (United States)
C. A. McPherson, The University of Tennessee (United States)
J. J. Hwang, The University of Tennessee (United States)


Published in SPIE Proceedings Vol. 0292:
Processing of Images and Data from Optical Sensors
William H. Carter, Editor(s)

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