The Iterative Closest Point (ICP) algorithm is a widely used method for aligning three-dimensional point sets. The quality of alignment obtained by this algorithm depends heavily ...
— This paper proposes a tracking system called VooDoo for 3d tracking of human body movements based on a 3d body model and the Iterative Closest Point (ICP) algorithm. The propos...
— This paper presents a technique to improve the data association in the Iterative Closest Point [2] based scan matching. The method is based on a distance-filter constructed on...
We describe a variation of the iterative closest point (ICP) algorithm for aligning two point sets under a set of transformations. Our algorithm is superior to previous algorithms...
We present an analytical method to estimate the absolute registration error bounds if two surfaces were to be aligned using the ICP (Iterative Closest Point) algorithm. The estima...
— We show how matching and reconstruction of contour points can be performed using Dynamic Time Warping (DTW) for the purpose of 3D hand contour tracking. We evaluate the perform...
Javier Romero, Danica Kragic, Ville Kyrki, Antonis...
— Time-of-Flight cameras constitute a smart and fast technology for 3D perception but lack in measurement precision and robustness. The authors present a comprehensive approach f...
Stefan May, David Droeschel, Stefan Fuchs, Dirk Ho...
Abstract. This paper investigates the use of a total least squares approach in a generalization of the iterative closest point (ICP) algorithm for shape registration. A new General...
A generalized image model (GIM) is presented. Images are represented as sets of four-dimensional (4D) sites combining position and intensity information, as well as their associat...
This paper presents a new approach for 3D view registration of stereo images. We introduce a hybrid error function which combines constraints from the ICP (Iterative Closest Point...