1 July 1994 Discrete, spatiotemporal, wavelet multiresolution analysis method for computing optical flow
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A wavelet-based system for computing localized velocity fields associated with time-sequential imagery is described. The approach combines the mathematical rigor of the multiresolution wavelet analysis with well-known spatiotemporal frequency flow computation principles. The foundation of the approach consists of a unique, nonhomogeneous multiresolution wavelet filter bank designed to extract moving objects in a 3-D image sequence based on their location, size, and speed. The filter bank is generated by an unconventional 3-D subband coding scheme that generates 20 orientation-tuned filters at each spatial and temporal resolution. The frequency responses of the wavelet filter bank are combined using a least-squares method to assign a velocity vector to each spatial location in an image sequence. Several examples are provided to demonstrate the flow computation abilities of the wavelet vector motion sensor.
Thomas J. Burns, Thomas J. Burns, Steven K. Rogers, Steven K. Rogers, Dennis W. Ruck, Dennis W. Ruck, Mark E. Oxley, Mark E. Oxley, } "Discrete, spatiotemporal, wavelet multiresolution analysis method for computing optical flow," Optical Engineering 33(7), (1 July 1994). https://doi.org/10.1117/12.172250 . Submission:

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