%0 Conference Paper %1 Zimmer:2009:COF:1615722.1615741 %A Zimmer, Henning %A Bruhn, Andrés %A Weickert, Joachim %A Valgaerts, Levi %A Salgado, Agust\'ın %A Rosenhahn, Bodo %A Seidel, Hans-Peter %B Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition %C Berlin, Heidelberg %D 2009 %I Springer-Verlag %K optical_flow %P 207--220 %R 10.1007/978-3-642-03641-5_16 %T Complementary Optic Flow %U http://dx.doi.org/10.1007/978-3-642-03641-5_16 %X <p>We introduce the concept of complementarity between data and smoothness term in modern variational optic flow methods. First we design a sophisticated data term that incorporates HSV colour representation with higher order constancy assumptions, completely separate robust penalisation, and constraint normalisation. Our anisotropic smoothness term reduces smoothing in the data constraint direction instead of the image edge direction, while enforcing a strong filling-in effect orthogonal to it. This allows optimal complementarity between both terms and avoids undesirable interference. The high quality of our complementary optic flow (COF) approach is demonstrated by the current top ranking result at the Middlebury benchmark.</p> %@ 978-3-642-03640-8

@inproceedings{Zimmer:2009:COF:1615722.1615741, abstract = {<p>We introduce the concept of complementarity between data and smoothness term in modern variational optic flow methods. First we design a sophisticated data term that incorporates HSV colour representation with higher order constancy assumptions, completely separate robust penalisation, and constraint normalisation. Our anisotropic smoothness term reduces smoothing in the data constraint direction instead of the image edge direction, while enforcing a strong filling-in effect orthogonal to it. This allows optimal complementarity between both terms and avoids undesirable interference. The high quality of our complementary optic flow (COF) approach is demonstrated by the current top ranking result at the Middlebury benchmark.</p>}, acmid = {1615741}, added-at = {2013-03-05T14:24:09.000+0100}, address = {Berlin, Heidelberg}, author = {Zimmer, Henning and Bruhn, Andr{\'e}s and Weickert, Joachim and Valgaerts, Levi and Salgado, Agust\'{\i}n and Rosenhahn, Bodo and Seidel, Hans-Peter}, biburl = {https://www.bibsonomy.org/bibtex/27f8730853f245fd5d2234093d0e5046c/alex_ruff}, booktitle = {Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition}, description = {Complementary Optic Flow}, doi = {10.1007/978-3-642-03641-5_16}, interhash = {6493ffec9b93bd20f096a9ba0aedcb00}, intrahash = {7f8730853f245fd5d2234093d0e5046c}, isbn = {978-3-642-03640-8}, keywords = {optical_flow}, location = {Bonn, Germany}, numpages = {14}, pages = {207--220}, publisher = {Springer-Verlag}, series = {EMMCVPR '09}, timestamp = {2013-03-05T14:24:09.000+0100}, title = {Complementary Optic Flow}, url = {http://dx.doi.org/10.1007/978-3-642-03641-5_16}, year = 2009 }