/opengv

OpenGV is a collection of computer vision methods for solving geometric vision problems.
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  2. Matlab 2.0%
  3. Other 0.8%
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Latest commit 2e2d219 Mar 24, 2017 @laurentkneip committed on GitHub Merge pull request #32 from pmoulon/develop_cmake_install 
Enhance Cmake usability - Removing local copy of Eigen
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doc/addons Enhance installation documentation Sep 26, 2016
include/opengv Removed a bug in the MultiRansac which caused it to stop too early an… Nov 2, 2016
matlab Added UPnP to the matlab interface. Redid the online tutorial, and ad… Mar 23, 2016
modules Wrap p3p_kneip in python Sep 6, 2015
python - Fix some compilation warning Jun 21, 2016
src Merge pull request #32 from pmoulon/develop_cmake_install Mar 24, 2017
test Merge pull request #32 from pmoulon/develop_cmake_install Mar 24, 2017
.gitignore Add gitignore Nov 11, 2015
.travis.yml Add travis config Nov 11, 2015
CMakeLists.txt Remove the useless INSTALL_OPENGV Sep 26, 2016
Doxyfile Initial commit Sep 5, 2013
License.txt Initial commit Sep 5, 2013
Makefile.ros Initial commit Sep 5, 2013
README.txt Updated the README file May 11, 2016
manifest.xml Initial commit Sep 5, 2013

README.txt 

library: OpenGV
pages:   http://laurentkneip.github.io/opengv
brief:   OpenGV is a collection of computer vision methods for solving
         geometric vision problems. It contains absolute-pose, relative-pose,
         triangulation, and point-cloud alignment methods for the calibrated
         case. All problems can be solved with central or non-central cameras,
         and embedded into a random sample consensus or nonlinear optimization
         context. Matlab and Python interfaces are implemented as well. The link
         to the above pages also shows links to precompiled Matlab mex-libraries.
         Please consult the documentation for more information.
author:  Laurent Kneip, The Australian National University
contact: kneip.laurent@gmail.com