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Proceedings Paper

Online 3D face reconstruction with incremental Structure From Motion and a regressor cascade
Author(s): Marek Kowalski; Władysław Skarbek
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Paper Abstract

In this paper we present a method for online 3D face reconstruction from a video sequence. The face landmarks in a given frame are detected and used to create a 3D shape estimate. The resulting 3D shape is an approximate, sparse representation of the subject’s face. Our reconstruction step is based on a revised version of incremental Structure From Motion, where we use a novel 4D subspace tracking procedure followed by scaled deflation against a vector of ones. Facial landmark detection is built upon a regressor cascade scheme where each subsequent regressor updates the initial shape obtained from the preceding frame.

Paper Details

Date Published: 2 December 2014
PDF: 8 pages
Proc. SPIE 9290, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2014, 92902W (2 December 2014); doi: 10.1117/12.2075107
Show Author Affiliations
Marek Kowalski, Warsaw Univ. of Technology (Poland)
Władysław Skarbek, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 9290:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2014
Ryszard S. Romaniuk, Editor(s)

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