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Proceedings Paper

Quantitative evaluation of three-dimensional facial scanners measurement accuracy for facial deformity
Author(s): Yi-jiao Zhao; Yu-xue Xiong; Yu-chun Sun; Hui-fang Yang; Pei-jun Lyu; Yong Wang
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Paper Abstract

Objective: To evaluate the measurement accuracy of three-dimensional (3D) facial scanners for facial deformity patients from oral clinic. Methods: 10 patients in different types of facial deformity from oral clinical were included. Three 3D digital face models for each patient were obtained by three facial scanners separately (line laser scanner from Faro for reference, stereophotography scanner from 3dMD and structured light scanner from FaceScan for test). For each patient, registration based on Iterative Closest Point (ICP) algorithm was executed to align two test models (3dMD data & Facescan data) to the reference models (Faro data in high accuracy) respectively. The same boundaries on each pair models (one test and one reference models) were obtained by projection function in Geomagic Stuido 2012 software for trimming overlapping region, then 3D average measurement errors (3D errors) were calculated for each pair models also by the software. Paired t-test analysis was adopted to compare the 3D errors of two test facial scanners (10 data for each group). 3D profile measurement accuracy (3D accuracy) that is integrated embodied by average value and standard deviation of 10 patients’ 3D errors were obtained by surveying analysis for each test scanner finally. Results: 3D accuracies of 2 test facial scanners in this study for facial deformity were 0.44±0.08 mm and 0.43±0.05 mm. The result of structured light scanner was slightly better than stereophotography scanner. No statistical difference between them. Conclusions: Both test facial scanners could meet the accuracy requirement (0.5mm) of 3D facial data acquisition for oral clinic facial deformity patients in this study. Their practical measurement accuracies were all slightly lower than their nominal accuracies.

Paper Details

Date Published: 17 July 2015
PDF: 8 pages
Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 95241K (17 July 2015); doi: 10.1117/12.2189480
Show Author Affiliations
Yi-jiao Zhao, Peking Univ. School of Stomatology (China)
Yu-xue Xiong, Peking Univ. School of Stomatology (China)
Yu-chun Sun, Peking Univ. School of Stomatology (China)
Hui-fang Yang, Peking Univ. School of Stomatology (China)
Pei-jun Lyu, Peking Univ. School of Stomatology (China)
Yong Wang, Peking Univ. School of Stomatology (China)


Published in SPIE Proceedings Vol. 9524:
International Conference on Optical and Photonic Engineering (icOPEN 2015)
Anand K. Asundi; Yu Fu, Editor(s)

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