Point Cloud Scene Reconstruction Based on Multi-planar Fitting
Authors: 
Yanning Gao, Yu Xin, Yixuan Zheng, Qing He, Dechao LiAuthors Info & Claims
Yanning Gao, Yu Xin, Yixuan Zheng, Qing He, Dechao LiAuthors Info & ClaimsPages 58 - 64
Abstract
The existing works have issues about the angular resolution limitations of the traditional mechanical LiDAR sensor. In such instance, it will fail to gain a complete depiction of the surroundings when gathering point cloud data. Therefore, we will employ a system to extracting feature points from intersecting planes in environment to achieve reconstruction in 3D environment. The system is combined with the RANSAC algorithm and 3A-LSM to better detect the intersecting planes in the scanned point cloud environment and fit the plane equations. The extracted intersection points are used as the feature points of the current frame. The virtual angle points are aligned between frames. The frames addresses the issues of the lack of an initial value in ICP alignment algorithm and poor efficiency of alignment perform in large- scale point clouds. Eventually, the outcomes of the experiments demonstrate that the system successfully completes the global three-dimensional reconstruction.
References
[1]
Ainiwaer Alafate, Li Wanlin. P‐16.12: Simultaneous Localization and mapping technology based on solid‐state lidar[J]. SID Symposium Digest of Technical Papers,2022,53(S1).
[2]
J.-E. Deschaud, "IMLS-SLAM: Scan-to-Model Matching Based on 3D Data," 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018, pp. 2480-2485.
[3]
Hengjie Luo, Hong Bao, Cheng Xu. Fast Closed-Loop SLAM based on the fusion of IMU and Lidar[J]. Journal of Physics: Conference Series,2021,1914(1).
[4]
Florent Poux, Quentin Valembois,Christian Mattes,Leif Kobbelt,Roland Billen. Initial User-Centered Design of a Virtual Reality Heritage System: Applications for Digital Tourism[J]. Remote Sensing,2020,12(16).
[5]
Mafkereseb Kassahun Bekele, Roberto Pierdicca, Emanuele Frontoni, Eva Savina Malinverni, James Gain. A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage[J]. Journal on Computing and Cultural Heritage (JOCCH),2018,11(2).
[6]
Robert Bogue. The growing importance of lidar technology[J]. The Industrial Robot,2022,49(6).
[7]
Wang Qing, Yan Chao, Tan Rongxuan, Feng Youyang, Sun Yang, Liu Yu. 3D-CALI: Automatic calibration for camera and LiDAR using 3D checkerboard[J]. Measurement,2022,203.
[8]
Basgall Paul L., Kruse Fred A., Olsen Richard C. Comparison of lidar and stereo photogrammetric point clouds for change detection[J]. National Geospatial-Intelligence Agency (United States);Naval Postgraduate School (United States);Air Force Research Lab. (United States);FastMetrix, Inc. (United States);U.S. Naval Research Lab. (United States),2014,9080.
[9]
Zhenhao Wang, Yan Zhao, Shigang Wang. Approach for improving efficiency of three-dimensional object recognition in light-field display[J]. Optical Engineering,2019,58(12).
[10]
Jie Xiong, Si-dong Zhong, Yong Liu, Li-fen Tu. Automatic three-dimensional reconstruction based on four-view stereo vision using checkerboard pattern[J]. Journal of Central South University,2017,24(5).
[11]
Yoonsu Park, Seokmin Yun, Chee Sun Won, Kyungeun Cho, Kyhyun Um, Sungdae Sim. Calibration between Color Camera and 3D LIDAR Instruments with a Polygonal Planar Board[J]. Sensors,2014,14(3).
[12]
Yusheng Xu, Richard Boerner, Wei Yao, Ludwig Hoegner, Uwe Stilla. Pairwise coarse registration of point clouds in urban scenes using voxel-based 4-planes congruent sets[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2019,151.
[13]
Zhizhong Kang, Jonathan Li, Liqiang Zhang, Qile Zhao, Sisi Zlatanova. Automatic Registration of Terrestrial Laser Scanning Point Clouds using Panoramic Reflectance Images[J]. Sensors,2009,9(4).
[14]
Ma. Weinmann, Mi. Weinmann,S. Hinz,B. Jutzi. Fast and automatic image-based registration of TLS data[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2011,66(6).
[15]
Marek Kulawiak, Zbigniew Lubniewski. Improving the Accuracy of Automatic Reconstruction of 3D Complex Buildings Models from Airborne Lidar Point Clouds[J]. Remote Sensing,2020,12(10).
[16]
Singer Nina, Asari Vijayan K. View-Agnostic Point Cloud Generation for Occlusion Reduction in Aerial Lidar[J]. Remote Sensing,2022,14(13).
[17]
Y. Chunjing,G. Guang. THE DIRECT REGISTRATION OF LIDAR POINT CLOUDS AND HIGH RESOLUTION IMAGE BASED ON LINEAR FEATURE BY INTRODUCING AN UNKNOWN PARAMETER[J]. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2012,XXXIX-B4(1).
[18]
Li Jianwei, Zhan Jiawang, Zhou Ting, Bento Virgílio A., Wang Qianfeng. Point cloud registration and localization based on voxel plane features[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2022,188.
[19]
P. W. Theiler, K. Schindler. AUTOMATIC REGISTRATION OF TERRESTRIAL LASER SCANNER POINT CLOUDS USING NATURAL PLANAR SURFACES[J]. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences,2012,I-3(1).
[20]
Adrien Gressin, Clément Mallet, Jérôme Demantké, Nicolas David. Towards 3D lidar point cloud registration improvement using optimal neighborhood knowledge[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2013,79.
[21]
Tai Haoyu, Xia Yonghua, He Xiangrong, Wu Xuequn, Li Chen, Yan Min, Kong Xiali, Yang Minglong. RGB-D Camera for 3D Laser Point Cloud Hole Repair in Mine Access Shaft Roadway[J]. Applied Sciences,2022,12(17).
[22]
Li Ce, Lu Bing, Zhang Yachao, Liu Hao, Qu Yanyun. 3D Reconstruction of Indoor Scenes via Image Registration[J]. Neural Processing Letters,2018,48(3).
[23]
Sang Mengting, Wang Wei, Pan Yani. RGB-ICP Method to Calculate Ground Three-Dimensional Deformation Based on Point Cloud from Airborne LiDAR[J]. Remote Sensing,2022,14(19).
[24]
Zhu Zhiyuan, Jiang Wensong, Yang Li, Luo Zai. Indoor Multi-Robot Cooperative Mapping Based on Geometric Features[J]. IEEE ACCESS,2021,9.
Index Terms
- Point Cloud Scene Reconstruction Based on Multi-planar Fitting
Recommendations
Tomographic surface reconstruction from point cloud
Inspired by computed tomography (CT), this paper presents a novel surface reconstruction algorithm, tomographic surface reconstruction, to reconstruct a surface mesh from a point cloud equipped with oriented normals. In the process of scanning a real ...
Planar Structure Detection for Online Reconstructed Indoor Scene
ICCCV '18: Proceedings of the 1st International Conference on Control and Computer VisionOnline scanning and reconstruction with RGBD Video technology has greatly improved real-time reconstruction of indoor scenes with low-cost depth camera. However, due to the limitation of depth resolution of current depth cameras, the quality of ...
Piecewise planar scene reconstruction from sparse correspondences
A novel method able to recover scene planes of arbitrary position and orientation from oriented images using homographies is presented. Planar regions are reconstructed using only sparse, affine-invariant sets of corresponding seed regions. These ...
Comments
Information & Contributors
Information
Published In
November 2022
86 pages
ISBN:9781450397889
DOI:10.1145/3573926
Copyright © 2022 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 February 2023
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICISE 2022
ICISE 2022: 2022 7th International Conference on Information Systems Engineering
November 4 - 6, 2022
SC, Charleston, USA
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 37Total Downloads
- Downloads (Last 12 months)22
- Downloads (Last 6 weeks)0
Reflects downloads up to 14 Sep 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format