Efficient local reflectional symmetries detection

In this paper, we present a novel framework for efficient multiple reflectional symmetric regions detection in real images. First, we present a fast operator to measure the symmetry. Then based on the extracted edge image, the dilation and erosion operations are applied for potential regions. Finally, the symmetry axes are derived based on weighted principle component analysis (PCA). The experiments based on the proposed algorithm show encouraging results on real images even with small size local symmetric regions and complex backgrounds.