Adaptive Camera-Based Color Mapping For Mixed-Reality Applications

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s):
  • Reciprocal Shading for Mixed Reality
• Date: October 2011
• ISBN: 978-1-4577-2183-0
• Publisher: IEEE/IET Electronic Library (IEL), IEEE-Wiley eBooks Library, VDE VERLAG Conference Proceedings
• Note: E-ISBN: 978-1-4577-2184-7
• Location: Basel, Switzerland
• Booktitle: Proceedings of the 2011 IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2011)
• Conference date: 26. October 2011 – 29. October 2011
• Pages: 165 – 168
• Keywords: Color Matching, Differential Rendering, Mixed Reality, Tone Mapping

Abstract

We present a novel adaptive color mapping method for virtual objects in mixed-reality environments. In several mixed-reality applications, added virtual objects should be visually indistinguishable from real objects. Recent mixed-reality methods use global-illumination algorithms to approach this goal. However, simulating the light distribution is not enough for visually plausible images. Since the observing camera has its very own transfer function from real-world radiance values to RGB colors, virtual objects look artificial just because their rendered colors do not match with those of the camera.

Our approach combines an on-line camera characterization method with a heuristic to map colors of virtual objects to colors as they would be seen by the observing camera. Previous tone-mapping functions were not designed for use in mixed-reality systems and thus did not take the camera-specific behavior into account. In contrast, our method takes the camera into account and thus can also handle changes of its parameters during runtime. The results show that virtual objects look visually more plausible than by just applying tone-mapping operators.

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BibTeX

@inproceedings{knecht-2011-CBCM,
  title =      "Adaptive Camera-Based Color Mapping For Mixed-Reality
               Applications",
  author =     "Martin Knecht and Christoph Traxler and Werner Purgathofer
               and Michael Wimmer",
  year =       "2011",
  abstract =   "We present a novel adaptive color mapping method for virtual
               objects in mixed-reality environments. In several
               mixed-reality applications, added virtual objects should be
               visually indistinguishable from real objects. Recent
               mixed-reality methods use global-illumination algorithms to
               approach this goal. However, simulating the light
               distribution is not enough for visually plausible images.
               Since the observing camera has its very own transfer
               function from real-world radiance values to RGB colors,
               virtual objects look artificial just because their rendered
               colors do not match with those of the camera.  Our approach
               combines an on-line camera characterization method with a
               heuristic to map colors of virtual objects to colors as they
               would be seen by the observing camera. Previous tone-mapping
               functions were not designed for use in mixed-reality systems
               and thus did not take the camera-specific behavior into
               account. In contrast, our method takes the camera into
               account and thus can also handle changes of its parameters
               during runtime. The results show that virtual objects look
               visually more plausible than by just applying tone-mapping
               operators.",
  month =      oct,
  isbn =       "978-1-4577-2183-0 ",
  publisher =  "IEEE/IET Electronic Library (IEL), IEEE-Wiley eBooks
               Library, VDE VERLAG Conference Proceedings",
  note =       "E-ISBN: 978-1-4577-2184-7",
  location =   "Basel, Switzerland",
  booktitle =  "Proceedings of the 2011 IEEE International Symposium on
               Mixed and Augmented Reality (ISMAR 2011)",
  pages =      "165--168",
  keywords =   "Color Matching, Differential Rendering, Mixed Reality, Tone
               Mapping",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/",
}