The MPI Sintel Dataset is one of the most widely used datasets for training and evaluating optical flow algorithms. It is the first synthetic dataset to achieve wide use because of it well represents natural scenes and motions. It is also extremely challenging and current methods have still not fully "solved" the problem of flow estimation for Sintel. Sintel is designed to encourage research on long-range motion, motion blur, multi-frame analysis, non-rigid motion. Algorithms are evaluated on held-out test data and results are displayed for comparison. The dataset contains flow fields, motion boundaries, unmatched regions, and image sequences. The image sequences are rendered with different levels of difficulty. We also provide ground truth depth, stereo, and camera motions. Sintel is an open source animated short film produced by Ton Roosendaal and the Blender Foundation. Here we have modified the film in many ways to make it useful for optical flow evaluation.
|Author(s):||Butler, D. J. and Wulff, J. and Stanley, G. B. and Black, M. J.|
|Authors:||Butler, D. J. and Wulff, J. and Stanley, G. B. and Black, M. J.|
|Copyright:||Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.|