Syawaludin, Muhammad-Firdaus Kim, Seungwon Hwang, Jae-In 2024-01-19T14:34:10Z 2024-01-19T14:34:10Z 2022-01-10 2021-05 2079-9292 https://pubs.kist.re.kr/handle/201004/117020 The 360 degrees cameras have served as a convenient tool for people to record their special moments or everyday lives. The supported panoramic view allowed for an immersive experience with a virtual reality (VR) headset, thus adding viewer enjoyment. Nevertheless, they cannot deliver the best angular resolution images that a perspective camera may support. We put forward a solution by placing the perspective camera planar image onto the pertinent 360 degrees camera equirectangular image region of interest (ROI) through planar-equirectangular image stitching. The proposed method includes (1) tangent image-based stitching pipeline to solve the equirectangular image spherical distortion, (2) feature matching scheme to increase correct feature match count, (3) ROI detection to find the relevant ROI on the equirectangular image, and (4) human visual system (HVS)-based image alignment to tackle the parallax error. The qualitative and quantitative experiments showed improvement of the proposed planar-equirectangular image stitching over existing approaches on a collected dataset: (1) less distortion on the stitching result, (2) 29.0% increased on correct matches, (3) 5.72 degrees ROI position error from the ground truth and (4) lower aggregated alignment-distortion error over existing alignment approaches. We discuss possible improvement points and future research directions. English MDPI SPHERE Planar-Equirectangular Image Stitching Article 10.3390/electronics10091126 1 ELECTRONICS, v.10, no.9 ELECTRONICS 10 9 scie scopus 000649995000001 2-s2.0-85105474034 Computer Science, Information Systems Engineering, Electrical & Electronic Physics, Applied Computer Science Engineering Physics Article SPHERE 360 degrees camera equirectangular image high-resolution image image stitching tangent image