Toward building and civil infrastructure reconstruction from point clouds: A review on data and key techniques
Nowadays, point clouds acquired through laser scanning and stereo matching have
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …
Computer vision based 3D reconstruction: A review
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 …
as site, and cultural artifacts in both ground and under the sea levels. The scientist are …
Detailed three-dimensional building façade reconstruction: a review on applications, data and technologies
Urban environments are regions of complex and diverse architecture. Their reconstruction
and representation as three-dimensional city models have attracted the attention of many …
and representation as three-dimensional city models have attracted the attention of many …
3D reconstruction and multiple point cloud registration using a low precision RGB-D sensor
RY Takimoto, MSG Tsuzuki, R Vogelaar… - Mechatronics, 2016 - Elsevier
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 …
improve the reconstruction are discussed. The precision of the 3D reconstruction is …
Color-space analytics for damage detection in 3D point clouds
M Momtaz Dargahi, A Khaloo… - Structure and …, 2022 - Taylor & Francis
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 …
high-resolution 3 D point clouds that capture the in-situ geometry of infrastructure systems …
Three new Iterative Closest Point variant-methods that improve scan matching for surface mining terrain
FA Donoso, KJ Austin, PR McAree - Robotics and Autonomous Systems, 2017 - Elsevier
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 …
between two point cloud data sets. A limitation of many ICP algorithms is that they work well …
3D object reconstruction using multiple Kinect sensors and initial estimation of sensor parameters
A Ruchay, K Dorofeev, A Kober - Applications of Digital Image …, 2018 - spiedigitallibrary.org
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 …
capture RGB-D data from Kinect sensors and estimate intrinsic parameters of each Kinect …
Fine registration of 3D point clouds fusing structural and photometric information using an RGB-D camera
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 …
an RGB-D (Kinect-style) camera from different viewpoints. While the Iterative Closest Point …
Implementation of MIMO Radar-Based Point Cloud Images for Environmental Recognition of Unmanned Vehicles and Its Application
J Kim, S Khang, S Choi, M Eo, J Jeon - Remote Sensing, 2024 - mdpi.com
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 …
obstacles in front of unmanned vehicles in fog, snow, rain, night and other scenarios. The …
3D object modeling with a Kinect camera
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 …
along with per-pixel depth information. In this paper we investigate the use of such cameras …