Improving the accuracy of visual odometry from point features

This work deals with the improvement of the performances of a fast Hessian-based feature detector/descriptor, developed by us, in the context of path estimation from passive stereo vision (Visual Odometry). It is shown how the path estimation accuracy could be improved at the expense of a modest increase in computations. Tests on real data confirm that the improvement is actually non negligible.