Dense Scene Flow from Stereo Disparity and Optical Flow

René Schuster; Oliver Wasenmüller; Didier Stricker

In: Computer Science in Cars Symposium. ACM Chapters Computer Science in Cars Symposium (CSCS-2018), September 13-14, Munich, Germany, ACM, 2018.


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.

schuster2018dense.pdf (pdf, 4 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence