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Proceedings Paper

Spatiotemporal signal processing using a discrete 3D multiresolution wavelet analysis
Author(s): Thomas J. Burns; Steven K. Rogers; Mark E. Oxley; Dennis W. Ruck
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Paper Abstract

This paper presents a 3D multiresolution wavelet analysis that provides a tool for analyzing spatial details (e.g., horizontal and vertical edges) of moving objects contained in a sequence of images. Current multiresolution wavelet analysis theory is modified to create an orthonormal wavelet basis for L2(R3) by forming the tensor product of three non- identical multiresolution wavelet analyses on L2(R). An unconventional multiresolution decomposition and reconstruction algorithm is presented which provides a new tool for analyzing moving objects in a scene. Preliminary results demonstrate the new analysis technique''s potential for segmenting key characteristics of an object moving against stationary or moving backgrounds.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); doi: 10.1117/12.131584
Show Author Affiliations
Thomas J. Burns, Air Force Institute of Technology (United States)
Steven K. Rogers, Air Force Institute of Technology (United States)
Mark E. Oxley, Air Force Institute of Technology (United States)
Dennis W. Ruck, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1826:
Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods
David P. Casasent, Editor(s)

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