Standards Development

Scope

This document describes a standard operating procedure (SOP) of a test dataset for the evaluation of modelling from 3D scanned data in the aspect of Information Technology.

This document classifies the main task phases and defines the required tasks in each phase on test data SOP.

This document defines essential requirements of test data for evaluation of modelling from 3D scanned data and describing how to check them.

Purpose

A 3D scanner can be based on many different technologies, each with its own purposes and targets, limitations, and advantages. There could be many limitations in each type of target object that will be digitized. For example, optical technology may encounter many difficulties with dark, shiny, reflective, or transparent objects. Another example, as using computed tomography scanning, structured-light 3D scanners, and LiDAR technology, there is a need to use non-destructive internal scanning technology for generating digital 3D models.

Despite the rapid growth of 3D scanning applications, the accuracy, precision, and reproducibility of generated 3D models from 3D scanned data have not been thoroughly investigated. Inaccuracies are due to errors that occur during the imaging, segmentation, postprocessing, and 3D printing steps. The total accuracy, precision, and reproducibility of 3D printed models are affected by the sum of errors introduced in each step involved in the creation of the models.

For the spreading of 3D printing applications, it is necessary to review and evaluate the various factors in each step of the 3D model printing process that contribute to model inaccuracy, including the intrinsic limitations of each printing technology.

• In this context evaluation of the overall process of data processing will be critical.

• For minimization of cumulative errors of 3D printing life cycles the initial error should be assessed and corrected.

• Test data and its corresponding labelling quality for 3D printing is quite an operator dependant. Thus, the test data standards operating procedures (SOP) will reduce human errors and enable reliable test for the modelling from 3D scanned data.

For test of the modelling from 3D scanned data, testing with big data is not practical. Thus, minimal requirement is needed for rigorous and comprehensive evaluation. It is very important to discuss how to organize and collect the test data.

Here we are going to propose the standard operating procedures (SOP) on how to prepare the test data for evaluating of modelling with 3D scanned data.