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/",
}