Prof. Dr. Didier Stricker

Dr. Alain Pagani

Nicole Stephanie Buhlinger

Keonna Cunningham

Dr. Oliver Wasenmüller

Dr. Gabriele Bleser

Dr. Bertram Taetz

M.Sc Rashed Al Koutayni

Mahdi Chamseddine

Steve Dias da Cruz

M.Sc. Fangwen Shu

Christiano Couto Gava

Vladislav Golyanik

Andreas Kölsch

Onorina Kovalenko

Muhammad Jameel Nawaz Malik

Nareg Minaskan Karabid

Manthan Pancholi

Jason Raphael Rambach

María Alejandra Sánchez Marín

Kripasindhu Sarkar

Alexander Schäfer

M.Sc. Dennis Stumpf

André Luiz Brandão

Ahmet Firintepe

Jilliam Maria Diaz Barros

Tewodros Amberbir Habtegebrial

FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation

FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation
René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker
IEEE International Conference on Image Processing

Abstract:: Optical Flow algorithms are of high importance for many applications. Recently, the Flow Field algorithm and its modifications have shown remarkable results, as they have been evaluated with top accuracy on different data sets. In our analysis of the algorithm we have found that it produces accurate sparse matches, but there is room for improvement in the interpolation. Thus, we propose in this paper FlowFields++, where we combine the accurate matches of Flow Fields with a robust interpolation. In addition, we propose improved variational optimization as post-processing. Our new algorithm is evaluated on the challenging KITTI and MPI Sintel data sets with public top results on both benchmarks.

Keywords:: Interpolation, KITTI, Matching, MPI Sintel, Optical Flow

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