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Recovering Motion Fields: An Evaluation
of Eight Optical Flow Algorithms
Ben Galvin, Brendan McCane, Kevin Novins, David Mason
and Steven Mills
Proceedings of the British Machine Vision Converence
(BMVC) '98, September 1998
Abstract:
Evaluating the performance of optical flow algorithms
has been difficult because of the lack of ground-truth data sets for complex
scenes. We describe a simple modification to a ray tracer that allows us
to generate ground-truth motion fields for scenes of arbitrary complexity.
The resulting flow maps are used to assist in the comparison of eight optical
flow algorithms using three complex, synthetic scenes. Our study found
that a modified version of Lucas and Kanade's algorithm has superior performance
but produces sparse flow maps. Proesmans et al.'s algorithm performs slightly
worse, on average, but produces a very dense depth map.
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