Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects
Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas
2020Year
7Top-tier citations
Abstract
Figure 1: Estimation of appearance, shape and 6D pose (3D position and rotation) of fast moving objects. The input video and 2D trajectories estimated by Non-Causal Tracking by Deblatting, TbD-NC [14], are processed by the proposed piecewise deblatting that generates, with sub-frame temporal resolution, the object appearance and shape (snapshots), from which the complete 6-DOF trajectory is estimated.
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Install the CLIlune papers fulltext 3897b14a-624c-40c1-9f4b-db900797c274Cited by top-tier papers7
- DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose EstimationTuo Cao, Fei Luo, Yanping Fu, Wenxiao Zhang et al.CVPR 2022 · 43 citations
- Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving ObjectsDenys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc PollefeysNeurIPS 2021 · 15 citations
- Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in VideosDenys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc PollefeysCVPR 2022 · 13 citations
- FMODetect: Robust Detection of Fast Moving ObjectsDenys Rozumnyi, Jirí Matas, Filip Sroubek, Marc Pollefeys et al.ICCV 2021 · 12 citations
- Human from Blur: Human Pose Tracking from Blurry ImagesYiming Zhao, Denys Rozumnyi, Jie Song, Otmar Hilliges et al.ICCV 2023 · 8 citations
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