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- W3033602319 abstract "In this paper, a novel real-time online UAV image mosaic algorithm is proposed to meet the real-time, robustness and accuracy requirements of practical application. First, the algorithm adopts GPS and track planning information to locate the adjacent images. Instead of the 8-DOF (degrees of freedom) homography transformation, the 4-DOF similarity transformation is estimated to more robustly register the UAV images and reduce their perspective errors. Second, a new method of local registration is developed to reduce the cumulative errors and calculation costs. Meanwhile, the real-time mosaic process is used to register images and update the panoramic image. Finally, the effectiveness of the proposed approach is evaluated by a group of experiments on 4K images taken by quadrotor drones. According to the comparison of experiments, the proposed algorithm is robust to cumulative errors and obtains high-quality panorama. Additionally, through the analysis on stitching time and practical application, frame-by-frame mosaic synthesis is online updated in real-time." @default.
- W3033602319 created "2020-06-12" @default.
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- W3033602319 date "2020-04-24" @default.
- W3033602319 modified "2023-09-27" @default.
- W3033602319 title "Real-time Online UAV Images Mosaic with Robustness to Cumulative Errors" @default.
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- W3033602319 doi "https://doi.org/10.1145/3398329.3398361" @default.
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