BRDF approximation and estimation for Augmented Reality

Patrick K├╝htreiber, Martin Knecht, Christoph Traxler
BRDF approximation and estimation for Augmented Reality
In 15th International Conference on System Theory, Control and Computing, pages 318-324. October 2011.
[Paper]

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Abstract

In Augmented Reality applications it is important to have a good description of the surfaces of real objects if a consistent shading between real and virtual object is required. If such a description of a surface is not vailable it has to be estimated or approximated. In our paper we will present certain methods that deal with real-time bi-directional reflectance distribution function (BRDF) approximation in augmented reality. Of course an important thing to discuss is whether the applications we present all work in real-time and compute good (and real)looking results. There are different methods on how to achieve this goal. All of the methods we are going to present work via image based lighting and some require a 3D polygonal mesh representation of the object whose BRDF shall be approximated. Some methods estimate the BRDF parameters via error values and provide results at each iteration.

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BibTeX

@inproceedings{KUE11,
  title =      "BRDF approximation and estimation for Augmented Reality",
  author =     "Patrick K{"u}htreiber and Martin Knecht and Christoph
               Traxler",
  year =       "2011",
  abstract =   "In Augmented Reality applications it is important to have a
               good description of the surfaces of real objects if a
               consistent shading between real and virtual object is
               required. If such a description of a surface is not vailable
               it has to be estimated or approximated. In our paper we will
               present certain methods that deal with real-time
               bi-directional reflectance distribution function (BRDF)
               approximation in augmented reality. Of course an important
               thing to discuss is whether the applications we present all
               work in real-time and compute good (and real)looking
               results. There are different methods on how to achieve this
               goal. All of the methods we are going to present work via
               image based lighting and some require a 3D polygonal mesh
               representation of the object whose BRDF shall be
               approximated. Some methods estimate the BRDF parameters via
               error values and provide results at each iteration.",
  month =      oct,
  booktitle =  "15th International Conference on System Theory, Control and
               Computing",
  location =   "Sinaia, Romania",
  organization = ""Gheorghe Asachi" Technical University of Iasi, Faculty of
               Automatic Control and Computer Engineering",
  pages =      "318--324",
  keywords =   "Mixed Reality, BRDF Estimation",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2011/KUE11/",
}