Mobile Apps for 3D Face Scanning

Intelligent Systems and Applications: Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021). Vol.2. Lecture Notes in Networks and Systems. Vol.295. 2021
Laura Dzelzkalēja, Normens Rozenovskis, Jēkabs Kārlis Knēts, Armands Sīlītis

As smartphone availability and functionality grows, the potential for 3D face-scanning mobile apps has massively increased as well. Our study is aimed at finding and testing mobile apps that are suitable for 3D face-scanning purposes. In our research we scanned two human faces using iOS and Android based smartphones. 6 mobile apps were found to be eligible: Bellus3D, Heges, Scandy Pro, Capture, Trnio, 3D scanner Pro. Our research shows that based on visual evaluation, the most accurate 3D models were made by Scandy Pro, while Heges was better priced with a similar accuracy. In the top three is also Bellus3D, which doesn't provide the best resemblance to the scanning objects, but was the easiest to use and process. Our quantitative measurements comparing face proportions show that the best accuracy for male face is obtained by Scandy Pro and 3D Scanner Pro, but for female face - Scandy Pro and Capture.

Keywords
3D scanning; face scan; 3D printing; mobile apps; face analysis; face measurement; 3D model measurement.
DOI
10.1007/978-3-030-82196-8_4
Hyperlink
https://link.springer.com/chapter/10.1007/978-3-030-82196-8_4

Dzelzkalēja, L., Rozenovskis, N., Knēts, J., Sīlītis, A. Mobile Apps for 3D Face Scanning. In: Intelligent Systems and Applications: Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021). Vol.2. Lecture Notes in Networks and Systems. Vol.295., Netherlands, Amsterdam, 2-3 September, 2021. Cham: Springer, 2021, pp.34-50. ISBN 978-3-030-82195-1. e-ISBN 978-3-030-82196-8. Available from: doi:10.1007/978-3-030-82196-8_4

Publication language
English (en)