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Dealing with matrices: Eigen vs OpenCV

asked 2015-09-22 12:55:18 -0600

alextoind

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What is the best practice in ROS projects when you have to deal with NxM matrices, Nx1 (or Mx1) vectors, sums, multiplications and other basic stuff? Which approach is neater?

I usually use STL structures like std::vector and I'd like to avoid boring cycles to convert data from one type to another, if possibile.

Thank you all.

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answered 2015-09-23 19:48:23 -0600

Tom Moore

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I don't know if there's a "best" practice, but I use Eigen.

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Thanks for the replay. I've made the same choice also because of the Eigen/tf conversions.

alextoind ( 2015-09-24 03:05:57 -0600 )edit

Agreed, for matrices in C++, Eigen has been #1 for a while and looks like it will stay that way. Not only is it very fast, it is very neat and easy to use.

Airuno2L ( 2015-09-24 07:01:48 -0600 )edit

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Asked: 2015-09-22 12:55:18 -0600

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Dealing with matrices: Eigen vs OpenCV