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Updated: Aug 14, 2026

Motion-Acuity Test for Visual Field Acuity Measurement with Motion-Defined Shapes
Published on: February 23, 2024
Identification of a discrete planar symmetric shape from a single noisy view
Oleg V Poliannikov1, Hamid Krim
1Department of Mathematics, University of Colorado, Denver, CO 80217-3364, USA. oleg.poliannikov@math.cudenver.edu
Abstract:
In this paper, we propose a method for identifying a discrete planar symmetric shape from an arbitrary viewpoint. Our algorithm is based on a newly proposed notion of a view's skeleton. We show that this concept yields projective invariants which facilitate the identification procedure. It is, furthermore, shown that the proposed method may be extended to the case of noisy data to yield an optimal estimate of a shape in question. Substantiating examples are provided.
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