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Proceedings Paper

Object position refinement using hierarchical search
Author(s): Anthony J. Hoogs
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Paper Abstract

A new technique for finding object pose in 2D is presented. Given an object model and an image of the object, the algorithm uses a hierarchical approach to quickly prune out areas of the image that do not contain the object. At higher resolutions hypothesized object positions are refined and pruned according to a match score based on the current resolution. Once the best position hypotheses are obtained at maximum resolution, a second image of the object is used to pinpoint its 3D position. The system was used to correct the positions of hundreds of 3D object models of buildings in outdoor scenes.

Paper Details

Date Published: 19 February 1996
PDF: 11 pages
Proc. SPIE 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, (19 February 1996); doi: 10.1117/12.233061
Show Author Affiliations
Anthony J. Hoogs, Lockheed Martin Corp. (United States)


Published in SPIE Proceedings Vol. 2645:
24th AIPR Workshop on Tools and Techniques for Modeling and Simulation
Donald J. Gerson, Editor(s)

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