tailieunhanh - A Database and Evaluation Methodology for Optical Flow

As discussed in Section , in the process of optimizing a query, the query optimizer recognizes that certain queries can be directed to only a subset of the nodes in the system. In the case of a single site query, the query is sent directly by the QM to the appropriate processor for execution. In the case of a multiple site query, the optim- izer establishes a connection to an idle scheduler process through a centralized dispatcher process. The dispatcher process, by controlling the number of active schedulers, implements a simple load control mechanism. Once it has established a connection with a scheduler process, the. | Int J Comput Vis DOI S11263-010-0390-2 A Database and Evaluation Methodology for Optical Flow Simon Baker Daniel Scharstein . Lewis Stefan Roth Michael J. Black Richard Szeliski Received 18 December 2009 Accepted 20 September 2010 Springer Science Business Media LLC 2010. This article is published with open access at Abstract The quantitative evaluation of optical flow algorithms by Barron et al. 1994 led to significant advances in performance. The challenges for optical flow algorithms today go beyond the datasets and evaluation methods proposed in that paper. Instead they center on problems associated with complex natural scenes including nonrigid motion real sensor noise and motion discontinuities. We propose a new set of benchmarks and evaluation methods for the next generation of optical flow algorithms. To that end we contribute four types of data to test different aspects of optical flow algorithms 1 sequences with non-rigid motion where the ground-truth flow is determined by A preliminary version of this paper appeared in the IEEE International Conference on Computer Vision Baker et al. 2007 . S. Baker R. Szeliski Microsoft Research Redmond WA USA S. Baker e-mail sbaker@ R. Szeliski e-mail szeliski@ D. Scharstein ISI Middlebury College Middlebury VT USA e-mail schar@ . Lewis Weta Digital Wellington New Zealand e-mail zilla@ S. Roth TU Darmstadt Darmstadt Germany e-mail sroth@ . Black Brown University Providence RI USA e-mail black@ tracking hidden fluorescent texture 2 realistic synthetic sequences 3 high frame-rate video used to study interpolation error and 4 modified stereo sequences of static scenes. In addition to the average angular error used by Barron et al. we compute the absolute flow endpoint error measures for frame interpolation error improved statistics and results at motion discontinuities and in textureless regions. In October