Invariant matching method for different viewpoint angle images

• DOI: 10.1364/ao.52.000096
• Publication Date: 2013-02-27T20:33:12Z
• Authors: Min Chen; Zhenfeng Shao; Dongyang Li; Jun Liu
• Keywords: Scale-invariant feature transform; Epipolar geometry; Robustness; Image Matching

In recent years, many methods have been put forward to improve the image matching for different viewpoint images. However, these are still not able achieve stable results, especially when large variation in view occurs. this paper, an method based on affine transformation of local areas is proposed. First, regions extracted from reference and test image, transformed circular according second-order moment. Then, scale invariant features detected matched regions. Finally, we use epipolar constraint fundamental matrix eliminate wrong corresponding pairs. The goal our increase invariance detector but final performance results. experimental results demonstrate that compared with traditional detectors proposed provides significant improvement robustness images 2D scene 3D scene. Moreover, efficiency greatly improved feature transform (Affine-SIFT).