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Curvature and the visual perception of shape: theory on information along object boundaries and the minima rule revisited.

Curvature and the visual perception of shape: theory on information along object boundaries and the minima rule revisited.
Curvature and the visual perception of shape: theory on information along object boundaries and the minima rule revisited.
Previous empirical studies have shown that information along visual contours is known to be concentrated in regions of high magnitude of curvature, and, for closed contours, segments of negative curvature (i.e., concave segments) carry greater perceptual relevance than corresponding regions of positive curvature (i.e., convex segments). Lately, Feldman and Singh (2005, Psychological Review, 112, 243–252) proposed a mathematical derivation to yield information content as a function of curvature along a contour. Here, we highlight several fundamental errors in their derivation and in its associated implementation, which are problematic in both mathematical and psychological senses. Instead, we propose an alternative mathematical formulation for information measure of contour curvature that addresses these issues. Additionally, unlike in previous work, we extend this approach to 3-dimensional (3D) shape by providing a formal measure of information content for surface curvature and outline a modified version of the minima rule relating to part segmentation using curvature in 3D shape. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

0033-295X
668–677
Lim, Ik Soo
1ecf6628-c26e-489a-bf97-606d45b8c17f
Leek, Elwyn
6f63c405-e28f-4f8c-8ead-3b0a79c7dc88
Lim, Ik Soo
1ecf6628-c26e-489a-bf97-606d45b8c17f
Leek, Elwyn
6f63c405-e28f-4f8c-8ead-3b0a79c7dc88

Lim, Ik Soo and Leek, Elwyn (2012) Curvature and the visual perception of shape: theory on information along object boundaries and the minima rule revisited. Psychological Review, 119 (3), 668–677. (doi:10.1037/a0025962).

Record type: Article

Abstract

Previous empirical studies have shown that information along visual contours is known to be concentrated in regions of high magnitude of curvature, and, for closed contours, segments of negative curvature (i.e., concave segments) carry greater perceptual relevance than corresponding regions of positive curvature (i.e., convex segments). Lately, Feldman and Singh (2005, Psychological Review, 112, 243–252) proposed a mathematical derivation to yield information content as a function of curvature along a contour. Here, we highlight several fundamental errors in their derivation and in its associated implementation, which are problematic in both mathematical and psychological senses. Instead, we propose an alternative mathematical formulation for information measure of contour curvature that addresses these issues. Additionally, unlike in previous work, we extend this approach to 3-dimensional (3D) shape by providing a formal measure of information content for surface curvature and outline a modified version of the minima rule relating to part segmentation using curvature in 3D shape. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

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Published date: 2012

Identifiers

Local EPrints ID: 494507
URI: http://eprints.soton.ac.uk/id/eprint/494507
ISSN: 0033-295X
PURE UUID: cbc80bfc-4caa-4353-8610-04668b2ba8b9
ORCID for Elwyn Leek: ORCID iD orcid.org/0000-0001-9258-7504

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Date deposited: 09 Oct 2024 17:00
Last modified: 10 Oct 2024 02:09

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Contributors

Author: Ik Soo Lim
Author: Elwyn Leek ORCID iD

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