2 code implementations • 18 Mar 2018 • Can Pu, Nanbo Li, Radim Tylecek, Robert B. Fisher
Existing rigid registration methods failed to use the physical 3D uncertainty distribution of each point from a real sensor in the dynamic alignment process mainly because the uncertainty model for a point is static and invariant and it is hard to describe the change of these physical uncertainty models in the registration process.
no code implementations • 18 Mar 2018 • Can Pu, Runzi Song, Radim Tylecek, Nanbo Li, Robert B. Fisher
into a refiner network to better refine raw disparity inputs.
no code implementations • 6 Mar 2018 • Hanz Cuevas-Velasquez, Nanbo Li, Radim Tylecek, Marcelo Saval-Calvo, Robert B. Fisher
A Master supervisor task selects between using the EtoH or the EinH, depending on the distance between the robot and target.
no code implementations • 26 Jul 2017 • Can Pu, Nanbo Li, Robert B. Fisher
Matching 3D rigid point clouds in complex environments robustly and accurately is still a core technique used in many applications.