Abstract 3D reconstruction are used in many fields starts from the object reconstruction such
as site, and cultural artifacts in both ground and under the sea levels. The scientist are …

Urban environments are regions of complex and diverse architecture. Their reconstruction
and representation as three-dimensional city models have attracted the attention of many …

A 3D reconstruction method using feature points is presented and the parameters used to
improve the reconstruction are discussed. The precision of the 3D reconstruction is …

Recent advances have enabled the use of modern remote sensing technologies to create
high-resolution 3 D point clouds that capture the in-situ geometry of infrastructure systems …

Abstract The Iterative Closest Point (ICP) algorithm seeks to minimize the misalignment
between two point cloud data sets. A limitation of many ICP algorithms is that they work well …

High-performance radar systems are becoming increasingly popular for accurately detecting
obstacles in front of unmanned vehicles in fog, snow, rain, night and other scenarios. The …

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 …

We address the problem of accurate and efficient alignment of 3D point clouds captured by
an RGB-D (Kinect-style) camera from different viewpoints. While the Iterative Closest Point …

RGB-D (Kinect-style) cameras are novel low-cost sensing systems that capture RGB images
along with per-pixel depth information. In this paper we investigate the use of such cameras …