Implementation and application of orientation correction on SIFT and SURF matching
Kam Meng Goh, A. R. Abu-Bakar, Musa Mohd Mokji, Usman Ullah Sheikh · 2013
Post-processing after matching technique such as RANSAC is useful for reducing outliners. However, such methods may not be able to increase the number of correctly matched pairs that is important in some application such as image stitching. In this work, a post-processing technique for increasing the number of correct matched points between two images with on-plane rotation is proposed. The proposed method makes use of the dominant rotational degree between two corresponding images to increase the number of matched points after feature extraction process using state-of-the-art methods such as Scale Invariant Feature Transform (SIFT) or Speeded-Up Robust Feature (SURF). The proposed method can generally increase the number of matched points around 10% to 20%. Furthermore, it can also correct the false matching which is caused by similar appearance of features.