2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2008)
Anchorage, AK, USA
June 23, 2008 to June 28, 2008
Marc M. Van Hulle , Laboratorium voor Neuro- en Psychofysiologie, K.U.Leuven, Belgium
Karl Pauwels , Laboratorium voor Neuro- en Psychofysiologie, K.U.Leuven, Belgium
Phase-based optical flow algorithms are characterized by high precision and robustness, but also by high computational requirements. Using the CUDA platform, we have implemented a phase-based algorithm that maps exceptionally well on the GPU’s architecture. This optical flow algorithm revolves around a reliability measure that evaluates the consistency of phase information over time. By exploiting efficient filtering operations, the high internal bandwidth of the GPU, and the texture units, we obtain dense and reliable optical flow estimates in realtime at high resolutions (640×512 pixels and beyond). Even though the algorithm is local and does not involve iterative regularization, highly accurate results are obtained on synthetic and complex real-world sequences.
Marc M. Van Hulle, Karl Pauwels, "Realtime phase-based optical flow on the GPU", 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 00, no. , pp. 1-8, 2008, doi:10.1109/CVPRW.2008.4563090