BriefGPT.xyz
Oct, 2017
SceneFlowFields：稀疏场景流对应关系的密集插值
SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences
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René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker
TL;DR
该研究论文报道了一种利用稀疏点匹配进行场景流估计的方法，通过边缘信息实现保持几何和运动边界的稠密插值，并进行变分能量最小化迭代优化，最终在KITTI基准数据集上得到了优秀的表现，可用于汽车场景下的静态与动态部分的分割。
Abstract
While most
scene flow
methods use either variational optimization or a strong rigid motion assumption, we show for the first time that
scene flow
can also be estimated by dense
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