LiDAR Point Clouds to 3-D Urban Models A Review
R Wang, J Peethambaran… - IEEE Journal of Selected …, 2018 - ieeexplore.ieee.org
Three-dimensional (3-D) urban models are an integral part of numerous applications, such
as urban planning and performance simulation, mapping and visualization, emergency …
as urban planning and performance simulation, mapping and visualization, emergency …
State of the art in surface reconstruction from point clouds
M Berger, A Tagliasacchi, LM Seversky… - … Conference of the …, 2014 - infoscience.epfl.ch
The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …
The traditional problem addressed by surface reconstruction is to recover the digital …
Pcn: Point completion network
Shape completion, the problem of estimating the complete geometry of objects from partial
observations, lies at the core of many vision and robotics applications. In this work, we …
observations, lies at the core of many vision and robotics applications. In this work, we …
Point2mesh: A self-prior for deformable meshes
In this paper, we introduce Point2Mesh, a technique for reconstructing a surface mesh from
an input point cloud. Instead of explicitly specifying a prior that encodes the expected shape …
an input point cloud. Instead of explicitly specifying a prior that encodes the expected shape …
A survey of surface reconstruction from point clouds
M Berger, A Tagliasacchi, LM Seversky… - Computer graphics …, 2017 - Wiley Online Library
The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …
The traditional problem addressed by surface reconstruction is to recover the digital …
Polyfit: Polygonal surface reconstruction from point clouds
We propose a novel framework for reconstructing lightweight polygonal surfaces from point
clouds. Unlike traditional methods that focus on either extracting good geometric primitives …
clouds. Unlike traditional methods that focus on either extracting good geometric primitives …
A survey of urban reconstruction
This paper provides a comprehensive overview of urban reconstruction. While there exists a
considerable body of literature, this topic is still under active research. The work reviewed in …
considerable body of literature, this topic is still under active research. The work reviewed in …
City3D: Large-scale building reconstruction from airborne LiDAR point clouds
We present a fully automatic approach for reconstructing compact 3D building models from
large-scale airborne point clouds. A major challenge of urban reconstruction from airborne …
large-scale airborne point clouds. A major challenge of urban reconstruction from airborne …
Building3d: A urban-scale dataset and benchmarks for learning roof structures from point clouds
Urban modeling from LiDAR point clouds is an important topic in computer vision, computer
graphics, photogrammetry and remote sensing. 3D city models have found a wide range of …
graphics, photogrammetry and remote sensing. 3D city models have found a wide range of …
A search-classify approach for cluttered indoor scene understanding
We present an algorithm for recognition and reconstruction of scanned 3D indoor scenes.
3D indoor reconstruction is particularly challenging due to object interferences, occlusions …
3D indoor reconstruction is particularly challenging due to object interferences, occlusions …