Structure from Motion and Photometric Stereo for Dense 3D Shape Recovery

  • Reza Sabzevari
  • Alessio Del Bue
  • Vittorio Murino
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6978)


In this paper we present a dense 3D reconstruction pipeline from monocular video sequences using jointly Photometric Stereo (PS) and Structure from Motion (SfM) approaches. The input videos are completely uncalibrated both from the multi-view geometry and photometric stereo aspects. In particular we make use of the 3D metric information computed with SfM from a set of 2D landmarks in order to solve for the bas-relief ambiguity which is intrinsic from dense PS surface estimation. The algorithm is evaluated over the CMU Multi-Pie database which contains the images of 337 subjects viewed under different lighting conditions and showing various facial expressions.


Structure from Motion Photometric Stereo Dense 3D Reconstruction 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Reza Sabzevari
    • 1
  • Alessio Del Bue
    • 1
  • Vittorio Murino
    • 1
  1. 1.Istituto Italiano di TecnologiaGenovaItaly

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