David Köppl
Nearfield Viewer
[report]

Information

  • Publication Type: Student Project
  • Workgroup(s)/Project(s):
  • Date: 2025
  • Date (Start): 18. February 2025
  • Date (End): 11. September 2025
  • Matrikelnummer: 12022493
  • First Supervisor:
  • Keywords: near-field illumination, luminaire design

Abstract

In lighting design, simulations rely on far-field photometry, which represents a luminaire by a point source with 2D angular luminous-intensity distribution. Moreover, lighting tools focus on luminaire’s illumination while neglecting their visual appearance. For luminaires with optically complex fixtures, far-field data is inaccurate. Near-field scans capture the required detail, but have large memomry requirements and are slow to render using current approaches. We present a real-time viewer that displays the luminaire appearance directly from near-field measurements rather than running a global illumination simulation. For every screen pixel, we find the best measurement point and sample the corresponding data. Through our viewer, we showcase that near-field data can be used interactively on consumer hardware by using our data packing and sampling approach. Our approach provides a practical baseline for future work on neural compression and using higher resolution scans, aiming to further improve visual quality in lighting design.

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BibTeX

@studentproject{KOEPPEL-2025-Nearfield,
  title =      "Nearfield Viewer",
  author =     "David K\"{o}ppl",
  year =       "2025",
  abstract =   "In lighting design, simulations rely on far-field
               photometry, which represents a luminaire by a point source
               with 2D angular luminous-intensity distribution. Moreover,
               lighting tools focus on luminaire’s illumination while
               neglecting their visual appearance. For luminaires with
               optically complex fixtures, far-field data is inaccurate.
               Near-field scans capture the required detail, but have large
               memomry requirements and are slow to render using current
               approaches. We present a real-time viewer that displays the
               luminaire appearance directly from near-field measurements
               rather than running a global illumination simulation. For
               every screen pixel, we find the best measurement point and
               sample the corresponding data. Through our viewer, we
               showcase that near-field data can be used interactively on
               consumer hardware by using our data packing and sampling
               approach. Our approach provides a practical baseline for
               future work on neural compression and using higher
               resolution scans, aiming to further improve visual quality
               in lighting design. ",
  month =      sep,
  keywords =   "near-field illumination, luminaire design",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/",
}