An Efficient User Interest Region Stitching Method using the RANSAC Algorithm

Hyunchul Lee, Kangseok Kim

http://doi.org/10.5626/JOK.2019.46.10.1025

Recently, with the emergence of 5G technology capable of high-capacity wireless data transmission, technologies using 360-degree virtual reality images have attracted attention, and therefore, interest in image stitching is increasing. In this paper, we proposed a user"s interest region matching method using the RANSAC algorithm. The proposed method uses the RANSAC algorithm and assigns a high weight to the region of interest selected by the user to perform image matching. It can be selectively performed in regions requiring natural stitching. The corresponding points included in the region of interest are set to have high weight and are necessarily included in the sample selection of the RANSAC algorithm. Additionally, the degree of matching to a specific region can be adjusted depending on whether several feature points are included. The method of interest region matching consists of setting the region of interest, increasing the weights of the corresponding points in the region of interest, creating the model using the RANSAC algorithm, and setting the inliers and outliers of the corresponding points using the model. The results of this study confirmed that users can get results approximating reality by performing matching based on points corresponding to selected regions of interest.