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Curvature and the visual perception of shape: Theory on information along object boundaries and the minima rule revisited. / Lim, Ik Soo; Leek, Charles E.
Yn: Psychological Review, Cyfrol 119, Rhif 3, 01.07.2012, t. 668-677.

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Lim IS, Leek CE. Curvature and the visual perception of shape: Theory on information along object boundaries and the minima rule revisited. Psychological Review. 2012 Gor 1;119(3):668-677. doi: 10.1037/a0025962

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Lim, Ik Soo ; Leek, Charles E. / Curvature and the visual perception of shape: Theory on information along object boundaries and the minima rule revisited. Yn: Psychological Review. 2012 ; Cyfrol 119, Rhif 3. tt. 668-677.

RIS

TY - JOUR

T1 - Curvature and the visual perception of shape: Theory on information along object boundaries and the minima rule revisited.

AU - Lim, Ik Soo

AU - Leek, Charles E.

PY - 2012/7/1

Y1 - 2012/7/1

N2 - 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.

AB - 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.

U2 - 10.1037/a0025962

DO - 10.1037/a0025962

M3 - Article

VL - 119

SP - 668

EP - 677

JO - Psychological Review

JF - Psychological Review

SN - 0033-295X

IS - 3

ER -