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Global Registration of Point Clouds for Mapping

2018
We present a robust Global Registration technique focused on environment survey applications using laser range-finders. Our approach works under the assumption that places can be recognized by analyzing the projection of the observed points along the gravity direction.
Carlos Sánchez 0001   +4 more
openaire   +1 more source

Point Cloud Registration Using Evolutionary Algorithm

2021
Point cloud registration is a hot research topic in computer vision and related areas. In this paper, inspired by Iterative Closest Point (ICP), two evolutionary algorithms, that is, Genetic Algorithm (GA) and Estimation of Distribution Algorithm (EDA), are designed to deal with the problem of registration.
Gewei Zhang   +3 more
openaire   +1 more source

Registration of Point Clouds for 3D Shape Inspection

2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006
Point cloud registration and sensor calibration are two critical technical issues concerning robot-mounted, area sensor systems. Iterative Closest Point (ICP)-based algorithms developed in the past are commonly used for point cloud registration. However, due to its least squared fitting nature, registration quality depends on how closely the measured ...
Quan Shi   +3 more
openaire   +2 more sources

Point Cloud Registration

2016
In this chapter, we focus on keypoint-based point cloud registration which has proven to be among the most efficient strategies for aligning pairs of overlapping scans. We present a novel and fully automated framework which consists of six components addressing (i) the generation of 2D image representations in the form of range and intensity images ...
openaire   +1 more source

Transformed polynomials for global registration of point clouds

Proceedings of the 27th Spring Conference on Computer Graphics, 2011
In this paper, we introduce a novel approach for global registration of partially overlapping point clouds. The approach identifies feature points of matching objects based on surface-approximating polynomials and finds an initial transformation depending on these polynomials.
Ruediger Schmedding   +3 more
openaire   +2 more sources

Research on algorithm of point cloud MapReduce registration

2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011
An improved algorithm of point cloud ICP registration base on MapReduce is proposed. This method applies parallel computing of MapReduce to registration of point cloud in order to reduce the requirements of computing and improve the efficiency of computing.
Song Liu, Xiaoyao Xie
openaire   +2 more sources

Registration algorithm for incongruent point clouds

2022 VIII International Conference on Information Technology and Nanotechnology (ITNT), 2022
A. Yu. Makovetskii   +3 more
openaire   +1 more source

Provably Approximated Point Cloud Registration

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Ibrahim Jubran   +3 more
openaire   +2 more sources

A review of non-rigid transformations and learning-based 3D point cloud registration methods

ISPRS Journal of Photogrammetry and Remote Sensing, 2023
Jürgen Hesser
exaly  

Registration of Point Clouds: A Survey

2021 International Conference on Networking Systems of AI (INSAI), 2021
Dongfang Xie   +4 more
openaire   +1 more source

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