Laser scanning range sensors are widely used for high-precision, high-density three-
dimensional (3D) reconstruction and inspection of the surface of physical objects. The …

Segmentation of anatomical structures, from modalities like computed tomography (CT),
magnetic resonance imaging (MRI) and ultrasound, is a key enabling technology for medical …

Focuses on acquiring spatial models of physical environments through mobile robots The
robotic map** problem is commonly referred to as SLAM (simultaneous localization and …

Since its introduction in the early 1990s, the Iterative Closest Point (ICP) algorithm has
become one of the most well-known methods for geometric alignment of 3D models. Given …

Pavement surface distress conditions are critical inputs for quantifying roadway
infrastructure serviceability. Numerous computer-aided automatic examination techniques …

The iterative closest point (ICP) algorithm is widely used for the registration of 3D geometric
data. One of the main drawbacks of the algorithm is its quadratic time complexity O (N/sup …

This paper reviews the current state of the art in Image-Guided Procedures (IGP), focusing
on key enabling technologies, and image-guided systems. Based on an idealized time-line …

Most range data registration techniques are variants on the iterative closest point (ICP)
algorithm, proposed by Y. Chen and G. Medioni (1991, Proceedings of the IEEE Conference …

TERRESTRIAL AND AIRBORNE LASER SCANNING (GEODESY); TERRESTRISCHES
UND LUFTGESTÜTZES LASERSCANNING (GEODÄSIE); METHODEN DER KLEINSTEN …

The Iterative Closest Point (ICP) algorithm is currently one of the most popular methods for
rigid registration so that it has become the standard in the Robotics and Computer Vision …