computer-vision-2
3D Point Cloud Interpolation
3260 papers • 126 benchmarks • 313 datasets
Point cloud interpolation is a fundamental problem for 3D computer vision. Given a low temporal resolution (frame rate) point cloud sequence, the target of interpolation is to generate a smooth point cloud sequence with high temporal resolution (frame rate).
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PointINet: Point Cloud Frame Interpolation Network
Guang Chen, Alois Knoll, Fan Lu, Sanqing Qu, Zhijun Li, Yinlong Liu•Thu Dec 17 2020
This paper proposes a novel learning-based points fusion module, which simultaneously takes two warped point clouds into consideration and designs both quantitative and qualitative experiments to evaluate the performance of the point cloud frame interpolation method.
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