Automatic rotational symmetry determination for shape analysis
Pattern Recognition
On the Detection of the Axes of Symmetry of Symmetric and Almost Symmetric Planar Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding the perspective projection of an axis of revolution
Pattern Recognition Letters
An optimization-based approach to the interpretation of single line drawings as 3D wire frames
International Journal of Computer Vision
Identification of Faces in a 2D Line Drawing Projection of a Wireframe Object
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Hough transform technique for the detection of parallel projected rotational symmetry
Pattern Recognition Letters
A Graph-Based Method for Face Identification from a Single 2D Line Drawing
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Application of Elliptic Fourier Descriptors to Symmetry Detection Under Parallel Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symmetry as a Continuous Feature
IEEE Transactions on Pattern Analysis and Machine Intelligence
Identifying Faces in a 2D Line Drawing Representing a Manifold Object
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Evolutionary Search for Faces from Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skewed mirror symmetry detection from a 2D sketch of a 3D model
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Symmetry recognition in group-theoretic computational schemes for complex structural systems
Computers and Structures
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This paper introduces a new algorithm for detecting skewed rotational symmetry in a 2D line drawing of a 3D polyhedral object by locating the possibly-multiple symmetry axes. The drawing is converted into an edge-vertex graph from which the algorithm finds the faces of the object and the sets of topologically symmetric edges and vertices. It then checks that each set of vertices is rotationally symmetric geometrically by analyzing the distribution of the vertices around the circumference of the best-fit ellipse. The object is rotationally skewed symmetric if the best fit ellipses of all the vertex sets have parallel axes, equal ratio of major radius to minor radius and centers on the axis of rotation. A tolerance is used in the calculation to allow for inaccuracies in the line drawings. A set of experimental results is presented showing that the algorithm works well.