Scene flow is the three-dimensional motion field of points in the world, just as optical flow is
the two-dimensional motion field of points in an image. Any optical flow is simply the …

Estimating dense 3D scene flow from stereo sequences remains a challenging task, despite
much progress in both classical disparity and 2D optical flow estimation. To overcome the …

The optical flow of natural scenes is a combination of the motion of the observer and the
independent motion of objects. Existing algorithms typically focus on either recovering …

Just as optical flow is the two-dimensional motion of points in an image, scene flow is the
three-dimensional motion of points in the world. The fundamental difficulty with optical flow is …

Shows that the set of all flow fields in a sequence of frames imaging a rigid scene resides in
a low-dimensional linear subspace. Based on this observation, we develop a method for …

We present an approach to 3D scene flow estimation, which exploits that in realistic
scenarios image motion is frequently dominated by observer motion and independent, but …

This paper presents a method for scene flow estimation from a calibrated stereo image
sequence. The scene flow contains the 3-D displacement field of scene points, so that the 2 …

The accurate estimation of motion in image sequences is of central importance to numerous
computer vision applications. Most competitive algorithms compute flow fields by minimizing …

We present an optical flow algorithm for large displacement motions. Most existing optical
flow methods use the standard coarse-to-fine framework to deal with large displacement …

This paper describes a new method for estimating optical flow that strikes a balance
between the flexibility of local dense computations and the robustness and accuracy of …