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Pattern-based Face Localization and Online Projector Parameterization for Multi-Camera 3D Scanning

Abstract : 3D face modeling is a very important and challenging task in computer vision especially in the presence of an expression variation. It plays an important role in a wide range of applications including facial animation, human-computer interaction and surgery. Current 3D face imaging solutions are often based on structured light camera/projector systems to overcome the relatively uniform appearance of skin. This paper proposes a space-time scheme for 3D face scanning, employing three calibrated cameras coupled with a non calibrated projector device. The proposed solution is a hybrid stereovision and phase-shifting approach, using two π-shifted sinusoid patterns and a texture image. It involves a pattern-based face localization approach and an online projector parameterization. The experimental results further validated the effectiveness of the proposed approach.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01354501
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Thursday, August 18, 2016 - 7:30:19 PM
Last modification on : Wednesday, October 28, 2020 - 1:30:12 PM

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  • HAL Id : hal-01354501, version 1

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Karima Ouji, Mohsen Ardabilian, Liming Chen, Faouzi Ghorbel. Pattern-based Face Localization and Online Projector Parameterization for Multi-Camera 3D Scanning. International Conference on 3D Body Scanning Technologies, Oct 2011, Lugano, Switzerland. ⟨hal-01354501⟩

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