Robust detection of skewed symmetries

Affine-invariant feature vector, which captures local and semi-local features, was used in the detection of skewed symmetries. Here, the problem of symmetry axes detection has been formulated as a line detection problem, with known orientations within a local similarity matrix computed for a shape. Moreover, our technique allows all the local reflection-symmetries within an object to be detected. Experiments on detecting skewed symmetries of self-symmetric objects and generalized objects, under noises and occlusions, have demonstrated the effectiveness of this method.