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Proceedings Paper

Time-Varying Patterns: Nonparametric Approaches
Author(s): Charles Jacobus
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Paper Abstract

We discuss the time-varying imagery analysis problem, contrasting low level and high level feature correspondence algorithms. Low level techniques are shown to have lower sensitivity to signal-to-noise level changes. High level techniques are shown to be more computationally attractive for complex scenes because of reduced feature data set sizes and heuristic matching methods. We go on to describe our high level motion and depth analysis system based on graphs composed of curvature segments called half chunks.

Paper Details

Date Published: 23 May 1983
PDF: 9 pages
Proc. SPIE 0360, Robotics and Industrial Inspection, (23 May 1983); doi: 10.1117/12.934102
Show Author Affiliations
Charles Jacobus, Texas Instruments, Inc. (United States)


Published in SPIE Proceedings Vol. 0360:
Robotics and Industrial Inspection
David P. Casasent, Editor(s)

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