This paper presents a new variant of the classical Iterative Closest Point (ICP) algorithm. The ICP result depends heavily on the matching between 3D points of the two cloud of po...
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
This paper reports a vessel structure based non-rigid registration method for cortical surface registration and deformation tracking using a laser-range scanner(LRS). The LRS cont...
Face recognition is a focused issue in pattern recognition over the past decades. In this paper, we have proposed a new scheme for face recognition using 3D information. In this s...
The goal of this work is the automatic inference of frequent patterns of the cortical sulci, namely patterns that can be observed only for a subset of the population. The sulci are...