Results 11 to 20 of about 5,651,580 (291)

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
doaj   +4 more sources

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, Lizhe Qi, Fuwang Wu, Fuwang Wu, Zuhao Ge, Zuhao Ge, Yuquan Sun, Yuquan Sun   +7 more
doaj   +2 more sources

Fast Registration of Point Cloud Based on Custom Semantic Extraction

Sensors, 2022
With the increase in the amount of 3D point cloud data and the wide application of point cloud registration in various fields, the question of whether it is possible to quickly extract the key points of registration and perform accurate coarse ...
Jianing Wu, Zhang Xiao, Fan Chen, Tianlin Peng, Zhi Xiong, Fengwei Yuan   +5 more
doaj   +2 more sources

VPRNet: Virtual Points Registration Network for Partial-to-Partial Point Cloud Registration

Remote Sensing, 2022
With the development of high-precision and high-frame-rate scanning technology, we can quickly obtain scan data of various large-scale scenes. As a manifestation of information fusion, point cloud registration is of great significance in various fields ...
Shikun Li, Yang Ye, Jianya Liu, Liang Guo   +3 more
doaj   +2 more sources

Registration Algorithm of Three-dimensional Point-cloud Models Based on Region Expansion [PDF]

Jisuanji gongcheng, 2017
In order to improve the accuracy of automatic registration of three-dimensional scattered point clouds,a new registration algorithm on the basis of region expansion is proposed.Through variations of the normal vector of local point-cloud,characteristic ...
LI Yichen,GENG Guohua,ZHANG Yuhe,LI Shanshan
doaj   +2 more sources

Point cloud registration with quantile assignment [PDF]

Machine Vision and Applications
AbstractPoint cloud registration is a fundamental problem in computer vision. The problem encompasses critical tasks such as feature estimation, correspondence matching, and transformation estimation. The point cloud registration problem can be cast as a quantile matching problem.
Ecenur Oguz, Yalim Dogan, Ugur Güdükbay, Oya Ekin Karasan, Mustafa Ç. Pinar   +4 more
openaire   +3 more sources

Incremental Multiview Point Cloud Registration [PDF]

CoRR
In this paper, we present a novel approach for multiview point cloud registration. Different from previous researches that typically employ a global scheme for multiview registration, we propose to adopt an incremental pipeline to progressively align scans into a canonical coordinate system.
Xiaoya Cheng, Yu Liu 0008, Maojun Zhang, Shen Yan 0002   +3 more
core   +5 more sources

A Depth-Based Weighted Point Cloud Registration for Indoor Scene

Sensors, 2018
Point cloud registration plays a key role in three-dimensional scene reconstruction, and determines the effect of reconstruction. The iterative closest point algorithm is widely used for point cloud registration.
Shuntao Liu, Dedong Gao, Peng Wang, Xifeng Guo, Jing Xu, Du-Xin Liu   +5 more
doaj   +2 more sources

Colored Point Cloud Registration Revisited

2017 IEEE International Conference on Computer Vision (ICCV), 2017
We present an algorithm for aligning two colored point clouds. The key idea is to optimize a joint photometric and geometric objective that locks the alignment along both the normal direction and the tangent plane. We extend a photometric objective for aligning RGB-D images to point clouds, by locally parameterizing the point cloud with a virtual ...
Jaesik Park, Qian-Yi Zhou, Vladlen Koltun   +2 more
openaire   +2 more sources

Research on Point Cloud Registration and Stitching Fusion Algorithm Based on GCN-PRFNet

IEEE Access
Point-cloud registration and stitching are important topics in the field of robot navigation and 3D reconstruction, e.g., the accuracy of point cloud registration and stitching in robot navigation directly affects the accuracy of map construction.
Wenhao Zeng, Gongbing Su, Zixuan Su, Rui Li, Jun Chen   +4 more
doaj   +2 more sources