Todo List

Class aliceVision::multiview::relativePose::EssentialKernel< SolverT, ErrorT, ModelT >

Error must be overwrite in order to compute F from E and K's. Fitting must normalize image values to camera values.

Member aliceVision::voctree::Database::operator<< (std::ostream &os, const SparseHistogram &dv)

Use sorted vector?

Class aliceVision::voctree::L2< Eigen::Matrix< Scalar, Rows, Cols, Options, MaxRows, MaxCols >, Eigen::Matrix< Scalar, Rows, Cols, Options, MaxRows, MaxCols > >

Version for raw data pointers that knows the size of the feature

Specialization for cv::Vec. Doesn't have size() so default won't work.

Member aliceVision::voctree::VocabularyTree< Feature, Distance >::k_

Consider bit-vector

Member aliceVision::voctree::VocabularyTree< Feature, Distance >::save (const std::string &file) const override

Support serializing of non-"simple" feature classes

Some identifying name for the distance used