Paper
11 August 1995 Perceptual convexity
Konstantin Y. Kupeev, Haim J. Wolfson
Author Affiliations +
Abstract
Often objects which are not convex in the mathematical sense are treated as `perceptually convex'. We present an algorithm for recognition of the perceptual convexity of a 2D contour. We start by reducing the notion of `a contour is perceptually convex' to the notion of `a contour is Y-convex'. The latter reflects an absence of large concavities in the OY direction of an XOY frame. Then we represented a contour by a G-graph and modify the slowest descent-- the small leaf trimming procedure recently introduced for the estimation of shape similarity. We prove that executing the slowest descent dow to a G-graph consisting of 3 vertices allows us to detect large concavities in the OY direction. This allows us to recognize the perceptual convexity of an input contour.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Konstantin Y. Kupeev and Haim J. Wolfson "Perceptual convexity", Proc. SPIE 2573, Vision Geometry IV, (11 August 1995); https://doi.org/10.1117/12.216408
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Cited by 1 scholarly publication.
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KEYWORDS
Detection and tracking algorithms

Chlorine

Algorithms

Databases

Information operations

Promethium

Computer science

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