Abstract
This paper defines a temporal continuity constraint that expresses assumptions about the evolution of 2D image velocity, or optical flow, over a sequence of images. Temporal continuity is exploited to develop an incremental minimization framework that extends the minimization of a non-convex objective function over time. Within this framework this paper describes an incremental continuation method for recursive non-linear estimation that robustly and adaptively recovers optical flow with motion discontinuities over an image sequence.
Portions of this work were performed at the NASA Ames Research Center, Yale University, and the University of Toronto with support from NASA (NGT-50749), ONR(N00014-91-J-1577), and NSERC.
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© 1994 Springer-Verlag Berlin Heidelberg
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Black, M.J. (1994). Recursive non-linear estimation of discontinuous flow fields. In: Eklundh, JO. (eds) Computer Vision — ECCV '94. ECCV 1994. Lecture Notes in Computer Science, vol 800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57956-7_15
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DOI: https://doi.org/10.1007/3-540-57956-7_15
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