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作 者:Minwen Yuan Yonghong Long Xin Li Minwen Yuan;Yonghong Long;Xin Li(College of Railway Transportation, Hunan University of Technology, Zhuzhou, China)
机构地区:[1]College of Railway Transportation, Hunan University of Technology, Zhuzhou, China
出 处:《Open Journal of Applied Sciences》2024年第4期1008-1021,共14页应用科学(英文)
摘 要:A two-stage automatic key frame selection method is proposed to enhance stitching speed and quality for UAV aerial videos. In the first stage, to reduce redundancy, the overlapping rate of the UAV aerial video sequence within the sampling period is calculated. Lagrange interpolation is used to fit the overlapping rate curve of the sequence. An empirical threshold for the overlapping rate is then applied to filter candidate key frames from the sequence. In the second stage, the principle of minimizing remapping spots is used to dynamically adjust and determine the final key frame close to the candidate key frames. Comparative experiments show that the proposed method significantly improves stitching speed and accuracy by more than 40%.A two-stage automatic key frame selection method is proposed to enhance stitching speed and quality for UAV aerial videos. In the first stage, to reduce redundancy, the overlapping rate of the UAV aerial video sequence within the sampling period is calculated. Lagrange interpolation is used to fit the overlapping rate curve of the sequence. An empirical threshold for the overlapping rate is then applied to filter candidate key frames from the sequence. In the second stage, the principle of minimizing remapping spots is used to dynamically adjust and determine the final key frame close to the candidate key frames. Comparative experiments show that the proposed method significantly improves stitching speed and accuracy by more than 40%.
关 键 词:UAV Aerial Video Image Stiching Key Frame Selection Overlapping Rate Remap Error
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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