| Conference/Proceedings | Picture Coding Symposium |
| Start date | 04.12.2016 |
| End date | 07.12.2016 |
| Address | Nuremberg, Germany |
| Publisher | IEEE |
| Pages | 1-5 |
| Author(s) | Jonas Geistert, Tobias Senst, Thomas Sikora |
| Title | Robust Local Optical Flow: Dense Motion Vector Field Interpolation |
| Abstract | Optical flow methods integrating sparse point correspondences have made significant contribution in the field of optical flow estimation. Especially for the goal of estimating motion accurately and efficiently sparse-to-dense interpolation schemes for feature point matches have shown outstanding performances. Concurrently, local optical flow methods have been significantly improved with respect to long-range motion estimation in environments with varying illumination. This motivates us to propose a sparse-to-dense approach based on the Robust Local Optical Flow method. We study the performance of different efficient motion vector interpolation techniques for recent optical low benchmarks. Compared state-of-the-art method the proposed approach is significantly faster while remaining competitive accuracy on Middlebury, KITTI 2015 and MPI-Sintel data-set. |
| Key words | multimedia analysis, Optical Flow, RLOF, Optical Imaging, Interpolation, Optical Sensors |
| Note | In IEEE-Explore zugefügt am 24 April 2017! Electronic ISSN: 2472-7822 DOI: 10.1109/PCS.2016.7906352 |
| File | 1498Geistert2016.pdf |