We present a two-dimensional information representation, where small but overlapping Gaussian kernels are used to encode the data in a matrix. Apart from points we apply this to constraints that restrict the solution to a linear subspace. A localised decoding scheme accurately extracts multiple solutions together with an estimate of the covariances. We employ the method in optical flow computations to determine multiple velocities occurring at motion discontinuities. © Springer-Verlag 2003.
CITATION STYLE
Spies, H., & Forssén, P. E. (2003). Two-dimensional channel representation for multiple velocities. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2749, 356–362. https://doi.org/10.1007/3-540-45103-x_49
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