1 November 1992 Spatiotemporal signal processing using a discrete 3D multiresolution wavelet analysis
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Proceedings Volume 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods; (1992) https://doi.org/10.1117/12.131584
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas J. Burns, Steven K. Rogers, Mark E. Oxley, Dennis W. Ruck, "Spatiotemporal signal processing using a discrete 3D multiresolution wavelet analysis", Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); doi: 10.1117/12.131584; https://doi.org/10.1117/12.131584
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