computer-vision-5
Scene Flow Estimation
3260 papers • 126 benchmarks • 313 datasets
Optical flow is a two-dimensional motion field in the image plane. It is the projection of the three-dimensional motion of the world. If the world is completely non-rigid, the motions of the points in the scene may all be indepen- dent of each other. One representation of the scene motion is therefore a dense three-dimensional vector field defined for every point on every surface in the scene. By analogy with optical flow, we refer to this three-dimensional motion field as scene flow. Source: Vedula, Sundar, et al. "Three-dimensional scene flow." IEEE transactions on pattern analysis and machine intelligence 27.3 (2005): 475-480. pdf
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KITTI 2015 Scene Flow Training
KITTI 2015 Scene Flow Training
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Scalable Scene Flow From Point Clouds in the Real World
Z. Chen, Jonathon Shlens, Nichola Abdo, P. Jund, Chris Sweeney•Sun Feb 28 2021
This work introduces a new large-scale dataset for scene flow estimation derived from corresponding tracked 3D objects, which is 1,000 times larger than previous real-world datasets in terms of the number of annotated frames, and designs human-interpretable metrics that better capture real world aspects by accounting for ego-motion and providing breakdowns per object type.
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