Attention: Answers.ros.org is deprecated as of August the 11th, 2023. Please visit robotics.stackexchange.com to ask a new question. This site will remain online in read-only mode during the transition and into the foreseeable future. Selected questions and answers have been migrated, and redirects have been put in place to direct users to the corresponding questions on Robotics Stack Exchange. Additional details are available here.

Dealing with matrices: Eigen vs OpenCV

asked 2015-09-22 12:55:18 -0500

alextoind

217 ●17 ●26 ●27

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.

edit retag flag offensive close merge delete

add a comment

1 Answer

Sort by » oldest newest most voted

answered 2015-09-23 19:48:23 -0500

Tom Moore

flag of United Kingdom of Great Britain and Northern Ireland

13689 ●74 ●240 ●232 http://github.com/ayrton04

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

edit flag offensive delete link

Comments

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

alextoind ( 2015-09-24 03:05:57 -0500 )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 -0500 )edit

add a comment

Question Tools

1 follower

Stats

Asked: 2015-09-22 12:55:18 -0500

Seen: 881 times

Last updated: Sep 23 '15

Dealing with matrices: Eigen vs OpenCV edit

1 Answer

Comments

Question Tools

Stats

Related questions

Dealing with matrices: Eigen vs OpenCV