On the basis of model numerical realizations, we propose and discuss the ideas and procedures of projectively-invariant
description of ovals, which use our previously developed theory for nding eight projectively-stable points on a gure
contour, given that one invariant point has been found earlier (inside the oval or on its contour, regardless of the
presence or absence of features of its implicit symmetry). This makes it possible to use this octet for standard
description of the curve as a compact descriptor of shape in technical schemes of planar gure classi cation on the
basis of the criterion of their projective equivalence. Using the example of a radially symmetric oval, new features of
the triad of external invariant points have been described (these points are called elliptical; their positions are
determined by the marked internal point of the gure). This triad provides calculating the invariant octet of the oval
contour. For an non-symmetric oval with a selected point on its contour, we propose a procedure for fast (o(n)
asymptotics) detection of the stable internal point, the coordinates of which determine the descriptor octet sought for.
We also consider and discuss some numerical schemes capable of forming such an octet on a curve showing either axial or
rotational symmetry. The overall result of the work is the description of the concept of using the mentioned theoretical
propositions in the problem of recognition of ovals.
Key words:
oval, invariant, projective transformation, wurf mapping, track of elliptical points, cyclic descriptor graph, theorems
on the number of invariant points of an oval
Cite:
Nikolayev P. P.
Raspoznavanie proektivno preobrazovannykh ploskikh figur. x. metody poiska okteta invariantnykh tochek kontura ovala – itog vklyucheniya razvitoi teorii v skhemy ego opisaniya
[Recognition of projectively transformed planar figures. x. methods for finding an octet of invariant points of an oval contour – the result of introducing a developed theory into the schemes of oval description].
Sensornye sistemy [Sensory systems].
2017.
V. 31(3).
P. 202-226 (in Russian).
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