<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The aim of this paper is to address the surface reconstruction from point cloud in reverser engineering. The data was acquired through a 3D scan device and was processed as point cloud data. The points in cloud were connected to build 3D surface. The points cloud was processed in four steps to get 3D information surface. First, the subtraction scheme was used to get cover boxes ended with the set of convex was found under the convergence rule. Secondly, the points in the box were projected to the directions which were close to the normal direction method. Thirdly the overlap was avoided by using convergence rule and inner subdivision rule. Finally the information model was used to reconstruction. The method was used in landslide monitoring of Three Gorges area for 3D surface reconstruction and monitoring. The reconstruction method obtains high precision and low complexity. It is effective for large scale monitoring.</p></abstract>

The aim of this paper is to address the surface reconstruction from point cloud in reverser engineering. The data was acquired through a 3D scan device and was processed as point cloud data. The points in cloud were connected to build 3D surface. The points cloud was processed in four steps to get 3D information surface. First, the subtraction scheme was used to get cover boxes ended with the set of convex was found under the convergence rule. Secondly, the points in the box were projected to the directions which were close to the normal direction method. Thirdly the overlap was avoided by using convergence rule and inner subdivision rule. Finally the information model was used to reconstruction. The method was used in landslide monitoring of Three Gorges area for 3D surface reconstruction and monitoring. The reconstruction method obtains high precision and low complexity. It is effective for large scale monitoring.

Triangulation Reconstruction for 3D Surface Based on Information Model

Huibei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, Three Gorges University, Yichang, 443002

Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing Normal University, Nanjing, 210042,

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Triangulation Reconstruction for 3D Surface Based on Information Model"}

The aim of this paper is to address the surface reconstruction from point cloud in reverser engineering. The data was acquired through a 3D scan device and was...

Triangulation Reconstruction for 3D Surface Based on Information Model

Pubblicato online: 20 ott 2016

Pagine: 27 - 33

DOI: https://doi.org/10.1515/cait-2016-0049

Parole chiave
Triangulation reconstruction, 3D elastic model, vector projection, point cloud, landslide monitoring

© by Na Li

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Triangulation Reconstruction for 3D Surface Based on Information Model

Pubblicato online: 20 ott 2016

Pagine: 27 - 33

DOI: https://doi.org/10.1515/cait-2016-0049

Parole chiaveTriangulation reconstruction, 3D elastic model, vector projection, point cloud, landslide monitoring

© by Na Li

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
Triangulation reconstruction, 3D elastic model, vector projection, point cloud, landslide monitoring