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Real-time 3D face fitting and texture fusion on in-the-wild videos

  • We present a fully automatic approach to real-time 3D face reconstruction from monocular in-the-wild videos. With the use of a cascaded-regressor-based face tracking and a 3D morphable face model shape fitting, we obtain a semidense 3D face shape. We further use the texture information from multiple frames to build a holistic 3D face representation from the video footage. Our system is able to capture facial expressions and does not require any person specific training. We demonstrate the robustness of our approach on the challenging 300 Videos in the Wild (300- VW) dataset. Our real-time fitting framework is available as an open-source library at http://4dface.org.

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Metadaten
Name:Kopp, Philipp; Rätsch, Matthias
DOI:https://doi.org/10.1109/LSP.2016.2643284
ISSN:1070-9908
Erschienen in:IEEE signal processing letters : a publication of the IEEE Signal Processing Society
Publisher:IEEE
Place of publication:New York, NY
Document Type:Article
Language:English
Year of Publication:2017
Tag:3D face reconstruction; 3D morphable face model; face model fitting; open source software; real-time
Volume:24
Issue:4
Pagenumber:5
First Page:437
Last Page:441
Dewey Decimal Classification:620 Ingenieurwissenschaften und Maschinenbau
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen IEEE