Recognition of planar shapes under affine distortion

作者:E. J. Pauwels, T. Moons, L. J. Van Gool, P. Kempenaers, A. Oosterlinck

摘要

Methods for the recognition ofplanar shapes from arbitrary viewpoints are described. The adopted model of projection is orthographic. The invariant descriptions derived for this group are one-dimensional shape signatures comparable to the well-known curvature as a function of arc length description of Euclidean geometry. Since the use of such differential invariants in the affine case would lead to unacceptably high orders of derivatives, affine invariant descriptions based onsemi-differential invariants are proposed as an alternative. A systematic discussion of different types of these invariants is given. The usefulness and viability of this methodology is demonstrated on a database containing more than 40 objects.

论文关键词:Image Processing, Artificial Intelligence, Computer Vision, Computer Image, Euclidean Geometry

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论文官网地址:https://doi.org/10.1007/BF01421488