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Erschienen in:
Spatio-Temporally Consistent Correspondence for Dense Dynamic Scene Modeling Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Semantic 3D Reconstruction of Heads

verfasst von : Fabio Maninchedda, Christian Häne, Bastien Jacquet, Amaël Delaunoy, Marc Pollefeys

Erschienen in: Computer Vision – ECCV 2016

Verlag: Springer International Publishing

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Abstract

We present a novel approach that jointly reconstructs the geometry of a human head and semantically segments it into labels such as skin, hair and eyebrows. In order to get faithful reconstructions from data captured in uncontrolled environments, we propose to adapt a recently introduced implicit volumetric surface normal based shape prior formulation. Shape prior based approaches critically rely on an accurate alignment between the data and the prior to succeed. To this end, we propose an automatic alignment procedure for the used shape prior formulation. We evaluate our alignment procedure thoroughly and show head reconstruction results on challenging datasets.

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Vorheriges Kapitel Learning Dynamic Hierarchical Models for Anytime Scene Labeling
Nächstes Kapitel Human Attribute Recognition by Deep Hierarchical Contexts
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Metadaten
Titel
Semantic 3D Reconstruction of Heads
verfasst von
Fabio Maninchedda
Christian Häne
Bastien Jacquet
Amaël Delaunoy
Marc Pollefeys
Copyright-Jahr
2016
Buch
Computer Vision – ECCV 2016

Print ISBN: 978-3-319-46465-7

Electronic ISBN: 978-3-319-46466-4

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-46466-4_40

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