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Forest point cloud registration: a review [PDF]
Forestry ResearchPoint cloud registration is a necessary prerequisite for conducting precise, large-scale forest surveys and management. This paper focuses on providing a systematic overview and summary of the work on forest point cloud registration over the past 20 ...
Jincheng Liu +5 more
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A review of rigid point cloud registration based on deep learning [PDF]
Frontiers in Neurorobotics, 2023 With the development of 3D scanning devices, point cloud registration is gradually being applied in various fields. Traditional point cloud registration methods face challenges in noise, low overlap, uneven density, and large data scale, which limits the
Lei Chen +4 more
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DeepMatch: Toward Lightweight in Point Cloud Registration [PDF]
Frontiers in Neurorobotics, 2022 From source to target, point cloud registration solves for a rigid body transformation that aligns the two point clouds. IterativeClosest Point (ICP) and other traditional algorithms require a long registration time and are prone to fall into local ...
Lizhe Qi +7 more
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Point Cloud Registration With Object-Centric Alignment [PDF]
IEEE Access, 2022 Point cloud registration is a core task in 3D perception, which aims to align two point clouds. Moreover, the registration of point clouds with low overlap represents a harder challenge, where previous methods tend to fail.
Bare Luka Zagar +3 more
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Self-Supervised Point Set Local Descriptors for Point Cloud Registration [PDF]
Sensors, 2021 Descriptors play an important role in point cloud registration. The current state-of-the-art resorts to the high regression capability of deep learning. However, recent deep learning-based descriptors require different levels of annotation and selection ...
Yijun Yuan +5 more
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Colored Point Cloud Registration by Depth Filtering [PDF]
Sensors, 2021 In the last stage of colored point cloud registration, depth measurement errors hinder the achievement of accurate and visually plausible alignments. Recently, an algorithm has been proposed to extend the Iterative Closest Point (ICP) algorithm to refine
Ouk Choi, Wonjun Hwang
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Hierarchical Optimization of 3D Point Cloud Registration [PDF]
Sensors, 2020 Rigid registration of 3D point clouds is the key technology in robotics and computer vision. Most commonly, the iterative closest point (ICP) and its variants are employed for this task.
Huikai Liu +5 more
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Parallel RANSAC for Point Cloud Registration [PDF]
Foundations of Computing and Decision Sciences, 2017 In this paper, a project and implementation of the parallel RANSAC algorithm in CUDA architecture for point cloud registration are presented. At the beginning, a serial state of the art method with several heuristic improvements from the literature ...
Koguciuk Daniel
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A Speedy Point Cloud Registration Method Based on Region Feature Extraction in Intelligent Driving Scene [PDF]
Sensors, 2023 The challenges of point cloud registration in intelligent vehicle driving lie in the large scale, complex distribution, high noise, and strong sparsity of lidar point cloud data.
Deli Yan +5 more
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Clique-like Point Cloud Registration: A Flexible Sampling Registration Method Based on Clique-like for Low-Overlapping Point Cloud [PDF]
SensorsThree-dimensional point cloud registration is a critical task in 3D perception for sensors that aims to determine the optimal alignment between two point clouds by finding the best transformation.
Xinrui Huang +3 more
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