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Proceedings Paper

Model group indexing for recognition
Author(s): David T. Clemens; David W. Jacobs
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Paper Abstract

To avoid the excessive computation of testing all combinations of feature matches groups of model features can be arranged in an index space offline (hashed). Ideally each image group should index into the space and find only those model groups that could have formed that image group. We prove an unexpected tight lower bound on the space required for such an indexing scheme for point features 3D models and 2D images and consider some implementation issues.

Paper Details

Date Published: 1 February 1991
PDF: 13 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25132
Show Author Affiliations
David T. Clemens, Massachusetts Institute of Technology (United States)
David W. Jacobs, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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