Standards Development

Scope

This document defines a standardized accuracy and precision evaluation process for modelling from 3D scanned data. The set of processes, activities and tasks described in this document provides a common framework for evaluating quality factors such as accuracy and precision for the modelling from 3D scanned data.

Purpose

3D scanning is the process of scanning a real-world object or environment to collect data on its shape and possibly its style attributes. The main purpose of 3D scanning is for generating high-precision digital 3D models. 

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.

Here we are going to propose the standardized evaluation process on how to evaluate for qualityenhancing and error minimizing of generating the 3D model from 3D scanned data.