Efficient symmetry detection using local affine frames

Authors:
Hugo Cornelius;Michal Perd'och;Jiří Matas;Gareth Loy
Affiliations:
CVAP, Royal Institute of Technology, Stockholm, Sweden;Center for Machine Perception, CTU in Prague, Czech Republic;Center for Machine Perception, CTU in Prague, Czech Republic;CVAP, Royal Institute of Technology, Stockholm, Sweden
Venue:
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Year:
2007

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Abstract

We present an efficient method for detecting planar bilateral symmetries under perspective projection. The method uses local affine frames (LAFs) constructed on maximally stable extremal regions or any other affine covariant regions detected in the image to dramatically improve the process of detecting symmetric objects under perspective distortion. In contrast to the previous work no Hough transform, is used. Instead, each symmetric pair of LAFs votes just once for a single axis of symmetry. The time complexity of the method is n log(n), where n is the number of LAFs, allowing a near real-time performance. The proposed method is robust to background clutter and partial occlusion and is capable of detecting an arbitrary number of symmetries in the image.