Paper
11 August 1995 Curve evolution and the computation of optical flow
Arun Kumar, Allen R. Tannenbaum, Gary J. Balas
Author Affiliations +
Abstract
A novel approach for the computation of optical flow based on an L1 type minimization is presented. It is shown that the approach has inherent advantages since it does not smooth the flow-velocity across the edges and hence preserve edge information. A numerical approach based on computation of evolving curves is proposed for computing the optical flow field. Computations carried out on a number of real image sequences in order to illustrate the theory as well as the numerical approach.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arun Kumar, Allen R. Tannenbaum, and Gary J. Balas "Curve evolution and the computation of optical flow", Proc. SPIE 2573, Vision Geometry IV, (11 August 1995); https://doi.org/10.1117/12.216434
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KEYWORDS
Optical flow

Algorithm development

Electronic filtering

Gaussian filters

Image processing

Cameras

Convolution

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