3D scanner point cloud denoising by near points surface fitting

2013 ◽  
Author(s):  
Václav Smítka ◽  
Martin Štroner
Keyword(s):  
Point Cloud ◽  
Surface Fitting ◽  
3D Scanner

scholarly journals An Innovative Detection Method of High-Speed Railway Track Slab Supporting Block Plane Based on Point Cloud Data from 3D Scanning Technology

2019 ◽  
Vol 9 (16) ◽  
pp. 3345 ◽  
Author(s):  
Chen ◽  
Qin ◽  
Xia ◽  
Bao ◽  
Huang ◽  
...  
Keyword(s):  
Point Cloud ◽  
High Speed ◽  
Detection Method ◽  
Railway Track ◽  
Point Cloud Data ◽  
3D Scanner ◽  
High Speed Railway ◽  
Cloud Data ◽  
Plane Point ◽  
Track Slab

The dimension detection of high-speed railway track slabs is one of the most important tasks before the track slabs delivery. Based on the characteristics of a 3D scanner which can acquire a large amount of measurement data continuously and rapidly in a short time, this paper uses the integration of 3D scanner and the intelligent robot to detect the CRTSIII (China Railway Track System) track slab supporting block plane, then the dense and accurate supporting block plane point cloud data is obtained, and the point cloud data is registered with the established model. An improved Random Sample Consensus (RANSAC) plane fitting algorithm is also proposed to extract the data of supporting block plane point cloud in this paper. The detection method is verified and the quality analysis of the detection results is assessed by a lot of real point cloud data obtained on site. The results show that the method can meet the quality control of CRTSIII finished track slab and the detection standard. Compared with the traditional detection methods, the detection method proposed in this paper can complete the detection of a track slab in 7 min, which greatly improves the detection efficiency, and has better reliability. The method has wide application prospects in the field of railway component detection.

scholarly journals Study on Curved Surface Fitting of Countersink Based on Point Cloud

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 106464-106470
Author(s):  
Jiming Sa ◽  
Hanwen Gu ◽  
Yilun An ◽  
Yijie Luo ◽  
Zhushanying Zhang
Keyword(s):  
Point Cloud ◽  
Surface Fitting ◽  
Curved Surface

scholarly journals Technical Assessment of Historic Buildings on The Basis of Information Obtained from a Three-Dimensional Point Clouds / Ocena Stanu Technicznego Budynków Zabytkowych w Oparciu o Dane Uzyskane z Trójwymiarowej Chmury Punktów

2016 ◽  
Vol 20 (1) ◽  
pp. 71-78 ◽  
Author(s):  
Joanna A. Pawłowicz ◽  
Elżbieta Szafranko
Keyword(s):  
Point Cloud ◽  
Three Dimensional ◽  
Point Clouds ◽  
Modern Method ◽  
Historic Buildings ◽  
High Complexity ◽  
3D Scanner ◽  
Laser Technology ◽  
Technical Assessment ◽  
Short Time

Abstract 3D scanning is the most modern method of unlimited possibilities based on laser technology. Its main advantage is the speed of obtaining large amounts of data in a very short time, which gives a huge advantage over existing methods of the measuring. Scanning provides opportunities for use in engineering works, geodetic and the inventory of buildings and objects of a high complexity, as well as in studies of damage or deformation of the structure. 3D scanner is a device, which with high accuracy collects data about the shape and texture of the tested object and its surroundings in the form of a point cloud.

scholarly journals Symmetrical Patterns of Ainu Heritage and Their Virtual and Physical Prototyping

Symmetry ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 985 ◽  
Author(s):  
Tashi ◽  
AMM Sharif Ullah
Keyword(s):  
Image Processing ◽  
Human Resources ◽  
Point Cloud ◽  
Manufacturing Technology ◽  
Digital Manufacturing ◽  
3D Printer ◽  
Cad Model ◽  
Foreseeable Future ◽  
3D Scanner ◽  
Physical Prototype

This article addresses virtual and physical prototyping of some symmetrical patterns collected from the Ainu cultural heritage. The indigenous people living in the northern part of Japan (e.g., Hokkaido), known as Ainu, often decorate their houses, clothing, ornaments, utensils, and spiritual goods using some unique patterns. The patterns carry their identity as well as their sense of aesthetics. Nowadays, different kinds of souvenirs and cultural artifacts crafted with Ainu patterns are cherished by many individuals in Japan and abroad. Thus, the Ainu patterns carry both cultural and commercial significance. A great deal of craftsmanship is needed to produce the Ainu patterns precisely. There is a lack of human resources having such craftsmanship. It will remain the same in the foreseeable future. Thus, there is a pressing need to preserve such craftsmanship. Digital manufacturing technology can be used to preserve the Ainu pattern-making craftsmanship. From this perspective, this article presents a methodology to create both virtual and physical prototypes of Ainu patterns using digital manufacturing technology. In particular, a point cloud-based approach was adopted to model the patterns. A point cloud representing a pattern was then used to create a virtual prototype of the pattern in the form of a solid CAD model. The triangulation data of each solid CAD model were then used to run a 3D printer to produce a physical prototype (replica of the pattern). The virtual and physical prototypes of both basic (Hokkaido) Ainu motifs and some synthesized patterns were reproduced using the presented methodology. The findings of this study will help those who want to digitize the craftsmanship of culturally significant artifacts without using a 3D scanner or image processing.

scholarly journals Bionic Design for Reducing Adhesive Resistance of the Ridger Inspired by a Boar’s Head

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Jianqiao Li ◽  
Yunpeng Yan ◽  
Benard Chirende ◽  
Xuejiao Wu ◽  
Zhaoliang Wang ◽  
...  
Keyword(s):  
Point Cloud ◽  
Vertical Section ◽  
Test Results ◽  
Front Part ◽  
3D Scanner ◽  
Cross Sectional ◽  
Resistance Reduction ◽  
Head Surface ◽  
Section Curve ◽  
Soil Bin

The main feature of the boar’s head used to root around for food is the front part, which is similar to the ridger in terms of function, load, and environment. In this paper, the boar’s head was selected as the biological prototype for developing a new ridger. The point cloud of the head was captured by a 3D scanner, and then, the head surface was reconstructed using 3D coordinates. The characteristic curves of the front part of the boar’s head were extracted, and then, five cross-sectional curves and one vertical section curve were fitted. Based on the fitted curves, five kinds of bionic ridgers were designed. The penetrating resistances of the bionic ridgers and traditional ridger were tested at different speeds in an indoor soil bin. The test results showed that bionic ridger B had the best penetrating resistance reduction ratio of 16.67% at 4.2 km/h velocity. In order to further evaluate the performance of the best bionic ridger (bionic ridger B), both the bionic ridger and traditional ridger were tested in a field under the same working conditions. The field results indicate that the bionic ridger reduces penetrating resistance by 6.91% compared to the traditional ridger, and the test results validate that the bionic ridger has an effect on reducing penetrating resistance.

scholarly journals 3D Indoor Mapping System Using 2D LiDAR Sensor for Drones

2018 ◽  
Vol 7 (4.11) ◽  
pp. 179 ◽  
Author(s):  
M. R. Shahrin ◽  
F. H. Hashim ◽  
W. M.D.W. Zaki ◽  
A. Hussain ◽  
T. T. Raj
Keyword(s):  
Real Time ◽  
Autonomous Navigation ◽  
Point Cloud ◽  
Cost Effective ◽  
Sensor Data ◽  
3D Scanner ◽  
Mapping System ◽  
3D Scanners ◽  
Major Factors ◽  
3D Scans

Most 3D scanners are heavy, bulky and costly. These are the major factors that make them irrelevant to be attached to a drone for autonomous navigation. With modern technologies, it is possible to design a simple 3D scanner for autonomous navigation. The objective of this study is to design a cost effective 3D indoor mapping system using a 2D light detection and ranging (LiDAR) sensor for a drone. This simple 3D scanner is realised using a LiDAR sensor together with two servo motors to create the azimuth and elevation axes. An Arduino Uno is used as the interface between the scanner and computer for the real-time communication via serial port. In addition, an open source Point-Cloud Tool software is used to test and view the 3D scanner data. To study the accuracy and efficiency of the system, the LiDAR sensor data from the scanner is obtained in real-time in point-cloud form. The experimental results proved that the proposed system can perform the 2D and 3D scans with tolerable performance.  

Fuzzy modeling of natural terrain elevation from a 3D scanner point cloud

2011 ◽  
Author(s):  
Anthony Mandow ◽  
Tomas J. Cantador ◽  
Alfonso Garcia-Cerezo ◽  
Antonio J. Reina ◽  
Jorge L. Martinez ◽  
...  
Keyword(s):  
Point Cloud ◽  
Fuzzy Modeling ◽  
3D Scanner ◽  
Natural Terrain ◽  
Terrain Elevation

Surface Design of Molding Tool for Composite Component Based on Reverse Engineering

2012 ◽  
Vol 503-504 ◽  
pp. 215-218 ◽  
Author(s):  
Da Wei Wu ◽  
Xiao Fei Ding ◽  
Gang Tong
Keyword(s):  
Reverse Engineering ◽  
Point Cloud ◽  
Laser Scanner ◽  
Surface Fitting ◽  
Point Cloud Data ◽  
Composite Component ◽  
Cross Sectional ◽  
Surface Design ◽  
Cloud Data ◽  
Molding Tool

This paper analyzes the structure of molding tool for composite component, and proposes a method of surface design of molding tool based on reverse engineering. By using handy laser scanner, the point cloud data is obtained from the composite component, which is processed in Geomagic Studio. Then the processed data is imported into CATIA for Surface fitting. The surface of molding tool for composite component is rapidly and accurately designed by analyzing 3D error and comparing cross-sectional data.

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