Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects
Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas
2020年份
7顶会引用
摘要
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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引用它的顶会 Paper7
- DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose EstimationTuo Cao, Fei Luo, Yanping Fu, Wenxiao Zhang 等CVPR 2022 · 被引用 43 次
- Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving ObjectsDenys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc PollefeysNeurIPS 2021 · 被引用 15 次
- Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in VideosDenys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc PollefeysCVPR 2022 · 被引用 13 次
- FMODetect: Robust Detection of Fast Moving ObjectsDenys Rozumnyi, Jirí Matas, Filip Sroubek, Marc Pollefeys 等ICCV 2021 · 被引用 12 次
- Human from Blur: Human Pose Tracking from Blurry ImagesYiming Zhao, Denys Rozumnyi, Jie Song, Otmar Hilliges 等ICCV 2023 · 被引用 8 次
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