%0 Book Section %1 noKey %A Gwosdek, Pascal %A Zimmer, Henning %A Grewenig, Sven %A Bruhn, Andrés %A Weickert, Joachim %B Trends and Topics in Computer Vision %D 2012 %E Kutulakos, KiriakosN. %I Springer Berlin Heidelberg %K GPU optical_flow performance %P 372-383 %R 10.1007/978-3-642-35740-4_29 %T A Highly Efficient GPU Implementation for Variational Optic Flow Based on the Euler-Lagrange Framework %U http://dx.doi.org/10.1007/978-3-642-35740-4_29 %V 6554 %X The Euler-Lagrange (EL) framework is the most widely-used strategy for solving variational optic flow methods. We present the first approach that solves the EL equations of state-of-the-art methods on sequences with %@ 978-3-642-35739-8

@incollection{noKey, abstract = {The Euler-Lagrange (EL) framework is the most widely-used strategy for solving variational optic flow methods. We present the first approach that solves the EL equations of state-of-the-art methods on sequences with }, added-at = {2014-05-30T13:09:54.000+0200}, author = {Gwosdek, Pascal and Zimmer, Henning and Grewenig, Sven and Bruhn, Andrés and Weickert, Joachim}, biburl = {https://www.bibsonomy.org/bibtex/20f2e744477d8ad856db653e41454162c/alex_ruff}, booktitle = {Trends and Topics in Computer Vision}, description = {A Highly Efficient GPU Implementation for Variational Optic Flow Based on the Euler-Lagrange Framework - Springer}, doi = {10.1007/978-3-642-35740-4_29}, editor = {Kutulakos, KiriakosN.}, interhash = {ace4647a303f1c7d9ecbaba94c1543b4}, intrahash = {0f2e744477d8ad856db653e41454162c}, isbn = {978-3-642-35739-8}, keywords = {GPU optical_flow performance}, pages = {372-383}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2014-05-30T13:09:54.000+0200}, title = {A Highly Efficient GPU Implementation for Variational Optic Flow Based on the Euler-Lagrange Framework}, url = {http://dx.doi.org/10.1007/978-3-642-35740-4_29}, volume = 6554, year = 2012 }