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Line 54: {{cite conference \|url=https://ieeexplore.ieee.org/abstract/document/5539939 \|title=Secrets of optical flow estimation and their principles \|last1=Sun \|first1=Deqing \|last2=Roth \|first2=Stefan \|last3=Black \|first3="Micahel J." \|date=2010 \|publisher=IEEE \|book-title=2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition \|pages= 2432-2439 \|___location=San Francisco, CA, USA \|conference=2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition}}</ref> An alternate approach is to discretize the optimisation problem and then perform a search of the possible <math>(u, v)</math> values without linearising it. <ref name="Steinbrucker_2009">{{cite conference \|url=https://ieeexplore.ieee.org/document/5459364 \|title=Large Displacement Optical Flow Computation without Warping \|last1=Steinbr¨ucker \|first1=Frank \|last2=Pock \|first2=Thomas \|last3=Cremers \|first3=~~daniel~~Daniel \|~~last3~~last4=Weickert \|~~first3~~first4=Joachim \|date=2009 \|publisher=IEEE \|book-title=2009 IEEE 12th International Conference on Computer Vision \|pages=1609-1614 \|conference=2009 IEEE 12th International Conference on Computer Vision}}</ref> ==== Parametric Models ====

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