
Proceedings Paper
Geometric-content-based indexingFormat | Member Price | Non-Member Price |
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Paper Abstract
We describe a technique for using geometric information contained in 2D images to search large databases of 3D models in the special case where the geometric information consists of finite point configurations. This technique exploits certain polynomial relations known as object/image equations between invariant coordinates assigned to 2D and 3D feature sets. The resulting scheme is invariant to changes in scale and perspective. Techniques for constructing indexes based on this technology as well as experimental results on numerical stability will also be described.
Paper Details
Date Published: 1 March 1998
PDF: 9 pages
Proc. SPIE 3240, 26th AIPR Workshop: Exploiting New Image Sources and Sensors, (1 March 1998); doi: 10.1117/12.300046
Published in SPIE Proceedings Vol. 3240:
26th AIPR Workshop: Exploiting New Image Sources and Sensors
J. Michael Selander, Editor(s)
PDF: 9 pages
Proc. SPIE 3240, 26th AIPR Workshop: Exploiting New Image Sources and Sensors, (1 March 1998); doi: 10.1117/12.300046
Show Author Affiliations
Charles S. Wan, Sarnoff Corp. (United States)
Published in SPIE Proceedings Vol. 3240:
26th AIPR Workshop: Exploiting New Image Sources and Sensors
J. Michael Selander, Editor(s)
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