Shadow Catcher: A Vision Based Illumination Condition Sensor using ARToolKit

Wolfram Wöß, Werner Hartmann, Jürgen Zauner, Thomas Luckeneder, Michael Haller

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Computing the correct illumination of virtual scenes is a well-explored area today. Most commonly used 3d graphic libraries like OpenGL or DirectX/Direct3d contain functions for these tasks. Within the field of real time mixed reality, the problem of correct illumination (i.e. consistent with the real illumination conditions) has not been considered much, because there where, and still are, more severe tasks to cope with, like for instance commonly usable tracking solutions or conveniently usable end user devices. But one of the main reasons for this is that the properties of the real light source cannot be determined in real time. There are some approaches like [1] and [2] that try to overcome this problem by conventionally tracking the position of the light source, or by using projectors as light source, which also project shadowing effects. This approach works perfectly for well controllable in-door setups but it fails for out-door applications.
Original languageEnglish
Title of host publicationThe Second IEEE International Augmented Reality Toolkit Workshop, Tokyo, Japan, October 7, 2003
PublisherIEEE
Number of pages2
Publication statusPublished - Oct 2003

Fields of science

  • 102001 Artificial intelligence
  • 102006 Computer supported cooperative work (CSCW)
  • 102010 Database systems
  • 102014 Information design
  • 102015 Information systems
  • 102016 IT security
  • 102028 Knowledge engineering
  • 102019 Machine learning
  • 102022 Software development
  • 102025 Distributed systems
  • 502007 E-commerce
  • 505002 Data protection
  • 506002 E-government
  • 509018 Knowledge management
  • 202007 Computer integrated manufacturing (CIM)
  • 102033 Data mining
  • 102035 Data science

Cite this