资源论文Efficient Dense Scene Flow from Sparse or Dense Stereo Data

Efficient Dense Scene Flow from Sparse or Dense Stereo Data

2020-03-30 | |  53 |   42 |   0

Abstract

This paper presents a technique for estimating the three- dimensional velocity vector field that describes the motion of each visible scene point (scene flow). The technique presented uses two con- secutive image pairs from a stereo sequence. The main contribution is to decouple the position and velocity estimation steps, and to estimate dense velocities using a variational approach. We enforce the scene flow to yield consistent displacement vectors in the left and right images. The decoupling strategy has two main advantages: Firstly, we are indepen- dent in choosing a disparity estimation technique, which can yield either sparse or dense correspondences, and secondly, we can achieve frame rates of 5 fps on standard consumer hardware. The approach provides dense velocity estimates with accurate results at distances up to 50 me- ters.

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