Geometric alignment of 3D pointclouds, obtained using a depth sensor such as a time-of-
flight camera, is a challenging task with important applications in robotics and computer …

Plane segmentation is a basic task in the automatic reconstruction of indoor and urban
environments from unorganized point clouds acquired by laser scanners. As one of the most …

Advanced user interface sensors are able to observe the environment in three dimensions
with the use of specific optical techniques such as time-of-flight, structured light or stereo …

Descriptors play an important role in point cloud registration. The current state-of-the-art
resorts to the high regression capability of deep learning. However, recent deep learning …

Point set registration algorithms such as Iterative Closest Point (ICP) are commonly utilized
in time-constrained environments like robotics. Finding the nearest neighbor of a point in a …

The purpose of this article is to present a study aimed at developing a method for the precise
determination of unmanned surface vehicle (USV) movement parameters (heading (HDG) …

Abstract Background and Objective Facial palsy negatively affects both professional and
personal life qualities of involved patients. Classical facial rehabilitation strategies can …

We present LiSTA (LiDAR Spatio-Temporal Analysis), a system to detect probabilistic object-
level change over time using multi-mission SLAM. Many applications require such a system …

Abstract Background and Objective Head and facial mimic animations play important roles
in various fields such as human-machine interactions, internet communications, multimedia …

SLAM technology is increasingly used to self-locate mobile robots in an unknown
environment. One of the methods used in this technology is called scan matching …