Mesh Segmentation and Texture Mapping for Dimensional Inspection inWeb3D
Fecha
2017-01-01
Autores
Mejia D.
Sánchez J.R.
Segura Á.
Ruiz-Salguero O.
Posada J.
Cadavid C.
Título de la revista
ISSN de la revista
Título del volumen
Editor
Association for Computing Machinery, Inc
Resumen
Traditionally, the data generated by industrial metrology so.ware is stored as static reports that metrology experts produce for engineering and production departments. Nevertheless, industry demands new approaches that provide ubiquitous and real time access to overall geometry, manufacturing and other data. Web3D technologies can help to improve the traditional metrology methods and o.er new ways to convey this information in web-based continuous friendly manner. However, enriched point clouds may be massive, thus presenting transmission and display limitations. To partially overcome these limitations, this article presents an algorithm that computes efficient metrology textures, which are then transferred and displayed through Web3D standards. Texture coordinates are computed only once for the reference CAD mesh on the server using in-house thermal-based segmentation and Hessian-based parameterization algorithms. The metrology data is then encoded in a texture le, which becomes available instantly for interactive visual inspection through the Web3D platform. © 2017 ACM.