# Dense Scene Flow from Stereo Disparity and Optical Flow

arXiv: https://arxiv.org/abs/1808.10146 · HTML: https://mlsanity.com/paper/1808.10146/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Aug 2018.

## Built on by (most cited first, 2 of 2)

- [Binary TTC: A Temporal Geofence for Autonomous Navigation](https://mlsanity.com/paper/2101.04777/) (2021)
- [TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios](https://mlsanity.com/paper/2309.01539/) (2023)

## Abstract (arXiv)

Scene flow describes 3D motion in a 3D scene. It can either be modeled as a single task, or it can be reconstructed from the auxiliary tasks of stereo depth and optical flow estimation. While the second method can achieve real-time performance by using real-time auxiliary methods, it will typically produce non-dense results. In this representation of a basic combination approach for scene flow estimation, we will tackle the problem of non-density by interpolation.
