Combining Stereo Disparity and Optical Flow for Basic Scene Flow

René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker

In: Commercial Vehicle Technology Symposium (CVT) 2018 |. Commercial Vehicle Technology Symposium (CVT-18) March 13-15 Kaiserslautern Germany Springer 2018.


Scene flow is a description of real world motion in 3D that contains more information than optical flow. Because of its complexity there exists no applicable variant for real-time scene flow estimation in an automotive or commercial vehicle context that is sufficiently robust and accurate. Therefore, many applications estimate the 2D optical flow instead. In this paper, we examine the combination of top-performing state-of-the-art optical flow and stereo disparity algorithms in order to achieve a basic scene flow. On the public KITTI Scene Flow Benchmark we demonstrate the reasonable accuracy of the combination approach and show its speed in computation.

schuster2018combining.pdf (pdf, 8 MB)

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz