Multi-camera 3D Scanning with a Non-rigid and Space-Time Depth Super-Resolution Capability

  • Karima Ouji
  • Mohsen Ardabilian
  • Liming Chen
  • Faouzi Ghorbel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6855)

Abstract

3D imaging sensors for the acquisition of three dimensional faces have created, in recent years, a considerable degree of interest for a number of applications. Structured light camera/projector systems are often used to overcome the relatively uniform appearance of skin. In this paper, we propose a 3D acquisition solution with a 3D space-time non-rigid super-resolution capability, using three calibrated cameras coupled with a non calibrated projector device, which is particularly suited to 3D face scanning, i.e. rapid, easily movable and robust to ambient lighting conditions. The proposed solution is a hybrid stereovision and phase-shifting approach, using two shifted patterns and a texture image, which not only takes advantage of the assets of stereovision and structured light but also overcomes their weaknesses. The super-resolution process is performed to deal with 3D artifacts and to complete the 3D scanned view in the presence of small non-rigid deformations as facial expressions. The experimental results demonstrate the effectiveness of the proposed approach.

Keywords

Stereovision Phase-shifting Space-time Multi-camera Super-resolution Non-rigid matching 3D frames 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Karima Ouji
    • 1
  • Mohsen Ardabilian
    • 1
  • Liming Chen
    • 1
  • Faouzi Ghorbel
    • 2
  1. 1.LIRIS, Lyon Research Center for Images and Intelligent Information Systems, Ecole Centrale de LyonEcullyFrance
  2. 2.GRIFT, Groupe de Recherche en Images et Formes de Tunisie, Ecole Nationale des Sciences de l’InformatiqueTunisie

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