23 May 1983 Pyramid-Based Extraction Of Local Image Features With Applications To Motion And Texture Analysis
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Proceedings Volume 0360, Robotics and Industrial Inspection; (1983); doi: 10.1117/12.934092
Event: 26th Annual Technical Symposium, 1982, San Diego, United States
Abstract
Multi-resolution pyramid structures may be used to compute image properties efficiently and within sets of Gaussian-like windows of many sizes. We define several basic pyramid algorithms which may be applied to a variety of image understanding tasks. These include a multi-resolution low-pass filter (the Gaussian pyramid), a multi-resolution band-pass filter (the Laplacian pyramid) and a multiscale window function (the Hierarchical Discrete Correl-ation). To illustrate these algorithms we present procedures for computing local edge density and spectral energy estimates for texture discrimination, and procedures for computing local correlation and gradient based estimates of pattern displacement for motion analysis. Pyramid computations are shown to be particularly low in both cost and complexity.
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Peter J. Burt, "Pyramid-Based Extraction Of Local Image Features With Applications To Motion And Texture Analysis", Proc. SPIE 0360, Robotics and Industrial Inspection, (23 May 1983); doi: 10.1117/12.934092; https://doi.org/10.1117/12.934092
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KEYWORDS
Image filtering

Convolution

Image processing

Linear filtering

Motion analysis

Gaussian filters

Image analysis

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