mlsanityData to 7 Oct 2026

3D Imaging of Complex Specular Surfaces by Fusing Polarimetric and Deflectometric Information

arXiv 2406.01994 ↗First posted 4 Jun 2024cs.CV physics.opticscited by 3

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Abstract (arXiv)

Accurate and fast 3D imaging of specular surfaces still poses major challenges for state-of-the-art optical measurement principles. Frequently used methods, such as phase-measuring deflectometry (PMD) or shape-from-polarization (SfP), rely on strong assumptions about the measured objects, limiting their generalizability in broader application areas like medical imaging, industrial inspection, virtual reality, or cultural heritage analysis. In this paper, we introduce a measurement principle that utilizes a novel technique to effectively encode and decode the information contained in a light field reflected off a specular surface. We combine polarization cues from SfP with geometric information obtained from PMD to resolve all arising ambiguities in the 3D measurement. Moreover, our approach removes the unrealistic orthographic imaging assumption for SfP, which significantly improves the respective results. We showcase our new technique by demonstrating single-shot and multi-shot measurements on complex-shaped specular surfaces, displaying an evaluated accuracy of surface normals below 0.6^circ.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 5 of its 29 references that are in the map. First posted on arXiv 4 Jun 2024.

Builds on

5 of 29 references.

References · 5

  1. 2021NeRFReN: Neural Radiance Fields with Reflectionscited by 121
  2. 2022ORCa: Glossy Objects as Radiance Field Camerascited by 20
  3. 2023Event-based Shape from Polarizationcited by 16
  4. 2018Fringe pattern analysis using deep learningcited by 13
  5. 2023Accurate Eye Tracking from Dense 3D Surface Reconstructions using Single-Shot Deflectometrycited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 3.

3 papers.