The Lunch Line, Summer 2009

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Winter 2009

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Fall 2010

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Spring 2011

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Summer 2011

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Winter 2011

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Fall 2011

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Spring 2012

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Summer 2013

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Winter 2012

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Fall 2012

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Winter 2013

Newsletter produced by Department of Education, Bureau of Food and Nutrition

The Lunch Line, Spring 2014

Newsletter produced by Department of Education, Bureau of Food and Nutrition

Line search multilevel optimization as computational methods for dense optical flow

We evaluate the performance of different optimization techniques developed in the context of optical flow computation with different variational models. In particular, based on truncated Newton methods (TN) that have been an effective approach for large-scale unconstrained optimization, we de- velop the use of efficient multilevel schemes for computing the optical flow. More precisely, we evaluate the performance of a standard unidirectional mul- tilevel algorithm - called multiresolution optimization (MR/OPT), to a bidrec- tional multilevel algorithm - called full multigrid optimization (FMG/OPT). The FMG/OPT algorithm treats the coarse grid correction as an optimiza- tion search direction and eventually scales it using a line search. Experimental results on different image sequences using four models of optical flow com- putation show that the FMG/OPT algorithm outperforms both the TN and MR/OPT algorithms in terms of the computational work and the quality of the optical flow estimation.

Iowa Fishing Regulations, 2014

Fishing Regulations for the state of Iowa