Advances in Geometry and Reflectance Acquisition

In proceedings of SIGGRAPH Asia 2015 Courses, pages 1:1-1:71, ACM, 2015
 

Abstract

The demands for digital 3D content for numerous applications such as video games, movies, virtual prototyping, advertisement, virtual reality, augmented reality or even digital preservation of cultural heritage objects has led to a need for efficient and accurate automatic acquisition systems for both geometry and reflectance. This short course sheds light on the acquisition ecosystem with three of its most important components that consist in accurate acquisition methods for geometry and reflectance as well as strategies towards an efficient acquisition pipeline to fulfill the demands of industry with respect to mass digitization of 3D contents. In this context, this course provides a thorough overview of the standard methods for the acquisition of both geometry and reflectance of surfaces with different types of reflectance behavior ranging from diffuse over opaque to specular surfaces or even translucent and transparent surfaces. These standard acquisition techniques are –- by design -– only well-suited for a limited range of surface materials and, hence, not adequate if no prior information with respect to the surface reflectance behavior is available. For this reason, we also discuss recent advances towards an efficient, fully automatic acquisition in the scope of the concluding remarks.

Bilder

Bibtex

@INPROCEEDINGS{weinmann-2015-SACourse-acquisition,
     author = {Weinmann, Michael and Klein, Reinhard},
      pages = {1:1--1:71},
      title = {Advances in Geometry and Reflectance Acquisition},
  booktitle = {SIGGRAPH Asia 2015 Courses},
       year = {2015},
  publisher = {ACM},
       note = {Article No. 1},
   abstract = {The demands for digital 3D content for numerous applications such as video games, movies, virtual
               prototyping, advertisement, virtual reality, augmented reality or even digital preservation of
               cultural heritage objects has led to a need for efficient and accurate automatic acquisition systems
               for both geometry and reflectance. This short course sheds light on the acquisition ecosystem with
               three of its most important components that consist in accurate acquisition methods for geometry and
               reflectance as well as strategies towards an efficient acquisition pipeline to fulfill the demands
               of industry with respect to mass digitization of 3D contents. In this context, this course provides
               a thorough overview of the standard methods for the acquisition of both geometry and reflectance of
               surfaces with different types of reflectance behavior ranging from diffuse over opaque to specular
               surfaces or even translucent and transparent surfaces. These standard acquisition techniques are
               –- by design -– only well-suited for a limited range of surface materials and, hence, not
               adequate if no prior information with respect to the surface reflectance behavior is available. For
               this reason, we also discuss recent advances towards an efficient, fully automatic acquisition in
               the scope of the concluding remarks.}
}