Object position refinement using hierarchical search

Anthony J. Hoogs

doi:10.1117/12.233061

19 February 1996 Object position refinement using hierarchical search

Anthony J. Hoogs

Proceedings Volume 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation; (1996) https://doi.org/10.1117/12.233061
Event: 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, 1995, Washington, DC, United States

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.

Citation Download Citation

Anthony J. Hoogs "Object position refinement using hierarchical search", Proc. SPIE 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, (19 February 1996); https://doi.org/10.1117/12.233061

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