Although the actual visual simultaneous localization and mapping (SLAM) algorithms
provide highly accurate tracking and mapping, most algorithms are too heavy to run live on …

In this paper, we reconstruct 3D object shape using multiple Kinect sensors. First, we
capture RGB-D data from Kinect sensors and estimate intrinsic parameters of each Kinect …

This paper presents a novel robotic system that applies spray foam insulation in underfloor
voids in order to improve the energy efficiency of buildings. The work focuses on solving the …

In this paper, we propose a new method for 3D object reconstruction using an RGB-D
sensor. The RGB-D sensor provides RGB images as well as depth images. Since the depth …

Point cloud registration is mainly to estimate a rigid transformation between point clouds.
The traditional optimization-based registration method requires a good initial position, and it …

Pairwise frame registration of indoor scenes with sparse 2D local features is not particularly
robust under varying lighting conditions or low visual texture. In this case, the use of 3D local …

In this paper, we propose a new algorithm for dense 3D object reconstruction using a RGB-
D sensor at high rate. In order to obtain a dense shape recovery of a 3D object, an efficient …

Object shape provides important information for robotic manipulation; for instance, selecting
an effective grasp depends on both the global and local shape of the object of interest, while …

In recent years, tilt photogrammetry technology has been widely used in surveying and
mapping field because of its good flexibility, high production efficiency, short cycle time and …

The ICP algorithm based on RGB-D images is one of the most widely used and the most
effective point cloud registration algorithms. How to improve the registration accuracy …