Wong, Anthony and Wang, Cheng
ORCID: https://orcid.org/0000-0003-4711-4534
(2026)
PPISP-Local: Local Tone Mapping for Physically Plausible 3D Gaussian Splatting of Heritage Ceilings.
In:
London Imaging Meeting (LIM) 2026.
UNSPECIFIED.
(In Press)
|
PDF (LIM26_PPISP_Local_CamReady)
- Accepted Version
Restricted to Repository staff only until 31 December 2099. Available under License Creative Commons Attribution. Request a copy |
Abstract
Mobile-phone-based 3D Gaussian Splatting (3DGS) is increasingly attractive for heritage digitization because it supports rapid, non-invasive acquisition in difficult environments. However, large indoor heritage scenes such as decorated ceilings often exhibit strongly unbalanced illumination, with side-window lighting, long capture trajectories, and automatic mobile camera processing causing view-dependent appearance inconsistencies. These effects are only partially handled by existing global photometric correction methods. We present PPISP-Local, a compact extension of a physically plausible image signal processing (ISP) correction model for radiance-field reconstruction. The method retains global exposure, vignetting, colour correction, and camera response modelling, and adds a low-capacity, luminance-only local tone-mapping module to better approximate mobile-phone ISP behaviour in unevenly lit indoor scenes. We evaluate the method on a high-ceiling heritage dataset and compare vanilla 3DGS, PPISP, and PPISP-Local on held-out ceiling views. PPISP-Local achieves the best reconstruction quality on this challenging smartphone dataset, suggesting that weak local tone adaptation is beneficial for large indoor heritage reconstruction when global photometric models are insufficient.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | das to be completed,2026 ,/dt/atira/pure/keyword/DAStatement/das_to_be_completed |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| Depositing User: | LivePure Connector |
| Date Deposited: | 06 Nov 2026 10:40 |
| Last Modified: | 06 Nov 2026 10:40 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/104991 |
| DOI: |
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