13_125-132_00742_Bpast.No.67-1 (3).pdf (2.37 MB)
Download file3D face reconstruction with region based best fit blending using mobile phone for virtual reality based social media
journal contribution
posted on 2019-06-10, 08:57 authored by Gholamreza Anbarjafari, R.E. Haamer, I. Lusi, T. Tikk, L. ValgmaThe use of virtual reality (VR) has been exponentially increasing and due to that many researchers have started to work on developing
new VR based social media. For this purpose it is important to have an avatar of the user which look like them to be easily generated by the
devices which are accessible, such as mobile phones. In this paper, we propose a novel method of recreating a 3D human face model captured
with a phone camera image or video data. The method focuses more on model shape than texture in order to make the face recognizable. We
detect 68 facial feature points and use them to separate a face into four regions. For each area the best fitting models are found and are further
morphed combined to find the best fitting models for each area. These are then combined and further morphed in order to restore the original
facial proportions. We also present a method of texturing the resulting model, where the aforementioned feature points are used to generate
a texture for the resulting model.
Funding
This work has been partially supported by Estonian Research Council Grants (PUT638), The Scientific and Technological Research Council of Turkey (TÜBİTAK) (Proje 1001‒116E097), the Estonian Centre of Excellence in IT (EXCITE) funded by the European Regional Development Fund and the European Network on Integrating Vision and Language (iV&L Net) ICT COST Action IC1307.
History
School
- Loughborough University London
Published in
The Bulletin of the Polish Academy of Sciences: Technical SciencesVolume
67Pages
125 - 132Citation
ANBARJAFARI, G. ... et al., 2019. 3D face reconstruction with region based best fit blending using mobile phone for virtual reality based social media. The Bulletin of the Polish Academy of Sciences: Technical Sciences, 67(1), pp. 125 - 132.Publisher
© the Authors. Published by the Polish Academy of SciencesVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2019Notes
This is an Open Access Article. It is published by Polish Academy of Sciences under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/ISSN
2300-1917;0239-7528Language
- en