23 May 1983 Time-Varying Patterns: Nonparametric Approaches
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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.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles Jacobus "Time-Varying Patterns: Nonparametric Approaches", Proc. SPIE 0360, Robotics and Industrial Inspection, (23 May 1983); doi: 10.1117/12.934102; https://doi.org/10.1117/12.934102
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