Lin, C.-H.C.-H.LinTsai, Y.M.Y.M.TsaiWEICHUNG WANGLIANG-GEE CHEN2019-10-282019-10-282018https://scholars.lib.ntu.edu.tw/handle/123456789/428579https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048843646&doi=10.1109%2fICCE.2018.8326271&partnerID=40&md5=c90b95d6570c236b379a5abccbee0148High-resolution image processing is crucial for emerging applications in virtual reality. The trade-off between robustness/accuracy and speed pose a challenge to high-resolution image stitching. This paper accelerates the state-of-the-art image stitching algorithm by using the CUDA toolkit. We also use the mesh coordinates as an initial guess for solving warping function for an additional increase in speed. Experimental results show that our implementation achieves comparable quality to the state-of-the-art work, while our implementation is almost 2x faster on high-resolution images (3264×2448). © 2018 IEEE.acceleration; CUDA; Image stitching; image warping; panoramaAcceleration; Economic and social effects; Graphics processing unit; CUDA; Emerging applications; High resolution image; High-resolution image processing; Image stitching; Image warping; panorama; State of the art; Image processingconference paper10.1109/ICCE.2018.83262712-s2.0-85048843646