Recognition of plane projective symmetry

A novel approach to grouping symmetrical planar curves under a projective transform is described. Symmetric curves are important as a generic model for object recognition where an object class is defined by the set of symmetries that any object in the class obeys. In this paper, a new algorithm is presented for grouping curves based on their correspondence under a plane projectivity. The correspondence between curves is established from an initial correspondence between two pairs of distinguished lines, such as lines tangent to inflection points. This initial correspondence leads to a reduced dimensional form for the projective mapping between the curves and a natural method for establishing correspondence between all points on the curves. A saliency measure is introduced which permits grouping results to be ordered in terms of the degree of symmetry supported by each curve pair. This saliency measure provides a basis for recognition in the case of approximate symmetry.

[1]  Tat-Jen Cham,et al.  Symmetry detection through local skewed symmetries , 1995, Image Vis. Comput..

[2]  HARRY BLUM,et al.  Shape description using weighted symmetric axis features , 1978, Pattern Recognit..

[3]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Ramakant Nevatia,et al.  From an Intensity Image to 3-D Segmented Descriptions , 1996, Object Representation in Computer Vision.

[5]  F. Bookstein Fitting conic sections to scattered data , 1979 .

[6]  David A. Forsyth,et al.  Class-based grouping in perspective images , 1995, Proceedings of IEEE International Conference on Computer Vision.

[7]  Daniel P. Huttenlocher,et al.  Tracking non-rigid objects in complex scenes , 1993, 1993 (4th) International Conference on Computer Vision.

[8]  Gérard G. Medioni,et al.  Object modeling by registration of multiple range images , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.