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Proceedings Paper

3-D Object Identification Using 2-D Projections
Author(s): B. Nutter; S. Mitra; M. Parten
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Paper Abstract

A three-dimensional object identification methodology based on rigid geometrical constraints and cross-correlation is discussed, and experimental results are given. Comparable results from a nearest-neighbor classifier using simple feature vectors extracted from the object and model projections are also given. Comments concerning advantages of model-driven recognition methodologies are then made.

Paper Details

Date Published: 1 February 1990
PDF: 10 pages
Proc. SPIE 1197, Automated Inspection and High-Speed Vision Architectures III, (1 February 1990); doi: 10.1117/12.969940
Show Author Affiliations
B. Nutter, Texas Tech University (United States)
S. Mitra, Texas Tech University (United States)
M. Parten, Texas Tech University (United States)


Published in SPIE Proceedings Vol. 1197:
Automated Inspection and High-Speed Vision Architectures III
Michael J. W. Chen, Editor(s)

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