The Community for Technology Leaders
RSS Icon
Subscribe
Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-8
Tadamasa Sawada , Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
Zygmunt Pizlo , Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
ABSTRACT
We present a new computational model for verifying whether a 3D shape is mirror-symmetric based on its single 2D image. First, a psychophysical experiment which tested human performance in detection of 3D symmetry is described. These psychophysical results led to the formulation of a new algorithm for symmetry detection. The algorithm first recovers the 3D shape using a priori constraints (symmetry, planarity of contours and 3D compactness) and then evaluates the degree of symmetry of the 3D shape. Reliable discrimination by the algorithm between symmetric and asymmetric 3D shapes involves two measures: similarity of the two halves of a 3D shape and compactness of the 3D shape. Performance of this algorithm is highly correlated with that of the subjects. We conclude that this algorithm is a plausible model of the mechanisms used by the human visual system.
CITATION
Tadamasa Sawada, Zygmunt Pizlo, "Detecting mirror-symmetry of a volumetric shape from its single 2D image", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-8, doi:10.1109/CVPRW.2008.4562976
17 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool