Affine invariant scale-space

作者:Guillermo Sapiro, Allen Tannenbaum

摘要

A newaffine invariant scale-space for planar curves is presented in this work. The scale-space is obtained from the solution of a novel nonlinear curve evolution equation which admits affine invariant solutions. This flow was proved to be the affine analogue of the well knownEuclidean shortening flow. The evolution also satisfies properties such ascausality, which makes it useful in defining a scale-space. Using an efficient numerical algorithm for curve evolution, this continuous affine flow is implemented, and examples are presented. The affine-invariant progressive smoothing property of the evolution equation is demonstrated as well.

论文关键词:Image Processing, Artificial Intelligence, Computer Vision, Evolution Equation, Computer Image

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论文官网地址:https://doi.org/10.1007/BF01420591