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