3DBODY.TECH 2021 - Paper 21.41

M. Yu et al., "3D Face Scanner Comparison: Visual and Anthropometric Accuracy Analysis", Proc. of 3DBODY.TECH 2021 - 12th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 19-20 Oct. 2021, #41, https://doi.org/10.15221/21.41.


3D Face Scanner Comparison: Visual and Anthropometric Accuracy Analysis


Minji YU, Alison CLOET, Linsey GRIFFIN

University of Minnesota, St. Paul MN, USA


Compared to traditional manual measurement methods, 3D face scanning has opened more design possibilities for face protection product development, such as masks and goggles, by acquiring the three-dimensional shape and dimension. Various scanning technologies have been developed with different levels of price, expertise, and functional sophistication. In order to appropriately utilize 3D face scan data for a particular purpose, it is crucial to understand the characteristics of each scanner and validate their accuracy. The purpose of this study was to compare the visual and anthropometric accuracy of 3D face scanners and explore the characteristics and applicability of each scanner. Three-dimensional face data of nine participants were acquired with three scanners: Artec Leo, Structure Sensor, and Bellus3D FaceApp. Before scanning, seven landmarks were marked, and five measurements were taken manually. The visual accuracy of each scanner was evaluated by experts through a survey with real-time comparison between scan and real face. It included assessment for distortion of textured and non-textured scans, as well as the visibility of landmarks. Measurements were obtained using Rhino 7 and Anthroscan ScanWorX software, and the anthropometric accuracy of each scanner was compared based on the manual measurements. The results of this study presented the visual and dimensional accuracy of the face mesh creation of three scanners, providing a comprehensive review of possible uses in consideration of the cost and usability of each scanner.


3d face scanning, face anthropometry, visual accuracy


Full paper: 2141yu.pdf
Proceedings: 3DBODY.TECH 2021, 19-20 Oct. 2021, Lugano, Switzerland
Paper id#: 41
DOI: 10.15221/21.41
Presentation video: 3DBodyTech2021_41_Yu.mp4

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