MPI-INF/SWS Research Reports 1991-2021

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Reflectance from images: a model-based approach for human faces

Fuchs, Martin and Blanz, Volker and Lensch, Hendrik and Seidel, Hans-Peter

2005, 33 pages.

Status: available - back from printing

In this paper, we present an image-based framework that acquires the reflectance properties of a human face. A range scan of the face is not required. Based on a morphable face model, the system estimates the 3D shape, and establishes point-to-point correspondence across images taken from different viewpoints, and across different individuals' faces. This provides a common parameterization of all reconstructed surfaces that can be used to compare and transfer BRDF data between different faces. Shape estimation from images compensates deformations of the face during the measurement process, such as facial expressions. In the common parameterization, regions of homogeneous materials on the face surface can be defined a-priori. We apply analytical BRDF models to express the reflectance properties of each region, and we estimate their parameters in a least-squares fit from the image data. For each of the surface points, the diffuse component of the BRDF is locally refined, which provides high detail. We present results for multiple analytical BRDF models, rendered at novelorientations and lighting conditions.

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  AUTHOR = {Fuchs, Martin and Blanz, Volker and Lensch, Hendrik and Seidel, Hans-Peter},
  TITLE = {Reflectance from images: a model-based approach for human faces},
  TYPE = {Research Report},
  INSTITUTION = {Max-Planck-Institut f{\"u}r Informatik},
  ADDRESS = {Stuhlsatzenhausweg 85, 66123 Saarbr{\"u}cken, Germany},
  NUMBER = {MPI-I-2005-4-001},
  YEAR = {2005},
  ISSN = {0946-011X},