Dense Scene Flow from Stereo Disparity and Optical Flow
This work addresses a specific limitation in real-time scene flow estimation for applications like robotics or autonomous driving, but it appears incremental as it focuses on interpolation within an existing combination approach.
The paper tackles the problem of non-dense scene flow estimation from stereo disparity and optical flow by proposing an interpolation method to fill in missing data, aiming to improve density without specifying concrete numerical results.
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.