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Proceedings Paper

Real-time pose determination and reality registration system
Author(s): Charles J. Cohen; Glenn Beach; Douglas Haanpaa; Charles J. Jacobus
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Paper Abstract

We have developed and demonstrated a vision-based pose determination and reality registration system for identifying objects in an unstructured visual environment. A wire-frame template of the object to be identified is compared to the input images form one or more cameras. If the object is found, an output of the object's position and orientation is computed. The placement of the template can be performed by a human in-the-loop, or through an automated real-time front end system. The three steps for classification and pose determination are comprised of two estimation modules and a module which refines the estimates to determine an answer. The first module in the sequence uses input images and models to generate a coarse pose estimate for the object. The second module in the sequence uses the estimates from the coarse pose estimation module, input images, and the model to further refine the pose. The last module in the sequence uses the fine pose estimation, the images, and the model to determine an exact match between the model and the image.

Paper Details

Date Published: 5 May 2000
PDF: 12 pages
Proc. SPIE 3905, 28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making, (5 May 2000); doi: 10.1117/12.384867
Show Author Affiliations
Charles J. Cohen, Cybernet Systems Corp. (United States)
Glenn Beach, Cybernet Systems Corp. (United States)
Douglas Haanpaa, Cybernet Systems Corp. (United States)
Charles J. Jacobus, Cybernet Systems Corp. (United States)


Published in SPIE Proceedings Vol. 3905:
28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making
William R. Oliver, Editor(s)

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