3D Face Reconstruction with Silhouette Constraints

Hu, Qiyang; Zwicker, Matthias; Favaro, Paolo (2016). 3D Face Reconstruction with Silhouette Constraints. Vision, Modeling and Visualization. The Eurographics Association 10.2312/vmv.20161340

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In this paper we introduce silhouette constraints to improve the quality of unconstrained 3D face reconstruction. Previously, state of the art unconstrained 3D face reconstruction techniques relied solely on photometric consistency and matching sparse facial landmarks. We show that constraining the silhouettes of the 3D reconstruction to match silhouettes in the input images can further improve reconstruction quality. Our technique automatically detects silhouettes and iteratively matches silhouette points computed from the current 3D reconstruction with silhouettes in the input images. We demonstrate that our results improve on the previous state of the art in unconstrained 3D face reconstruction and that our additional constraints can easily be included in the iterative reconstruction at little additional cost.

Item Type: Conference or Workshop Item (Paper)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF) > Computer Graphics Group (CGG)
08 Faculty of Science > Institute of Computer Science (INF) > Computer Vision Group (CVG)
08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor: Hu, Qiyang; Zwicker, Matthias and Favaro, Paolo
Subjects: 000 Computer science, knowledge & systems
500 Science > 510 Mathematics
ISBN: 978-3-03868-025-3
Publisher: The Eurographics Association
Funders: [4] Swiss National Science Foundation
Language: English
Submitter: Matthias Zwicker
Date Deposited: 14 Feb 2017 14:41
Last Modified: 14 Feb 2017 14:41
Publisher DOI: 10.2312/vmv.20161340
BORIS DOI: 10.7892/boris.95084
URI: http://boris.unibe.ch/id/eprint/95084

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