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Visual detection of symmetry of 3D shapes.
J Vis. 2010 Jun 01; 10(6):4.JV

Abstract

This study tested perception of symmetry of 3D shapes from single 2D images. In Experiment 1, performance in discrimination between symmetric and asymmetric 3D shapes from single 2D line drawings was tested. In Experiment 2, performance in discrimination between different degrees of asymmetry of 3D shapes from single 2D line drawings was tested. The results showed that human performance in the discrimination was reliable. Based on these results, a computational model that performs the discrimination from single 2D images is presented. The model first recovers the 3D shape using a priori constraints: 3D symmetry, maximal 3D compactness, minimum surface area, and maximal planarity of contours. Then the model evaluates the degree of symmetry of the 3D shape. The model provided good fit to the subjects' data.

Authors+Show Affiliations

Department of Psychological Science, Purdue University, West Lafayette, IN, USA. sawada@psych.purdue.edu

Pub Type(s)

Comparative Study
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

20884553

Citation

Sawada, Tadamasa. "Visual Detection of Symmetry of 3D Shapes." Journal of Vision, vol. 10, no. 6, 2010, p. 4.
Sawada T. Visual detection of symmetry of 3D shapes. J Vis. 2010;10(6):4.
Sawada, T. (2010). Visual detection of symmetry of 3D shapes. Journal of Vision, 10(6), 4. https://doi.org/10.1167/10.6.4
Sawada T. Visual Detection of Symmetry of 3D Shapes. J Vis. 2010 Jun 1;10(6):4. PubMed PMID: 20884553.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Visual detection of symmetry of 3D shapes. A1 - Sawada,Tadamasa, Y1 - 2010/06/01/ PY - 2010/10/2/entrez PY - 2010/10/5/pubmed PY - 2011/3/18/medline SP - 4 EP - 4 JF - Journal of vision JO - J Vis VL - 10 IS - 6 N2 - This study tested perception of symmetry of 3D shapes from single 2D images. In Experiment 1, performance in discrimination between symmetric and asymmetric 3D shapes from single 2D line drawings was tested. In Experiment 2, performance in discrimination between different degrees of asymmetry of 3D shapes from single 2D line drawings was tested. The results showed that human performance in the discrimination was reliable. Based on these results, a computational model that performs the discrimination from single 2D images is presented. The model first recovers the 3D shape using a priori constraints: 3D symmetry, maximal 3D compactness, minimum surface area, and maximal planarity of contours. Then the model evaluates the degree of symmetry of the 3D shape. The model provided good fit to the subjects' data. SN - 1534-7362 UR - https://www.unboundmedicine.com/medline/citation/20884553/Visual_detection_of_symmetry_of_3D_shapes_ L2 - http://jov.arvojournals.org/article.aspx?doi=10.1167/10.6.4 DB - PRIME DP - Unbound Medicine ER -