Measurement error using a SeeMaLab structured light 3D scanner against a Microscribe 3D digitizer.

ABSTRACT:

Background

Geometric morphometrics is a powerful approach to capture and quantify morphological shape variation. Both 3D digitizer arms and structured light surface scanners are portable, easy to use, and relatively cheap, which makes these two capturing devices obvious choices for geometric morphometrics. While digitizer arms have been the "gold standard", benefits of having full 3D models are manifold. We assessed the measurement error and investigate bias associated with the use of an open-source, high-resolution structured light scanner called SeeMaLab against the popular Microscribe 3D digitizer arm.

Methodology

The analyses were based on 22 grey seal (Halichoerus grypus) skulls. 31 fixed anatomical landmarks were annotated both directly using a Microscribe 3D di

SUBMITTER: Messer D 

PROVIDER: S-EPMC8381885 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature