Abstract A coarse registration method using Mixed Integer Linear Programming (MILP) is described that finds global optimal registration parameter values that are independent of the values of invariant features. We formulate the range image registration problem using MILP. Our algorithm using MILP formulation finds the best balanced optimal registration for robustly aligning two range images with the best balanced accuracy. It adjusts the error tolerance automatically in accordance with the accuracy of the given range image data. Experimental results show that this method of coarse registration is highly effective.
Automatic Range Image Registration Using Mixed Integer Linear Programming
Computer Vision – ACCV 2007 ; 6 ; 424-434
Lecture Notes in Computer Science ; 4844 , 6
2007-01-01
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Range Image , Translation Vector , Point Pair , Rigid Transformation , Integer Linear Program Formulation Computer Science , Image Processing and Computer Vision , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Artificial Intelligence (incl. Robotics) , Biometrics , Algorithm Analysis and Problem Complexity
Partial Train Speed Trajectory Optimization Using Mixed-Integer Linear Programming
Online Contents | 2016
|