mlsanityData to 7 Oct 2026

Perspective Phase Angle Model for Polarimetric 3D Reconstruction

arXiv 2207.09629 ↗First posted 20 Jul 2022cs.CVcited by 11

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Abstract (arXiv)

Current polarimetric 3D reconstruction methods, including those in the well-established shape from polarization literature, are all developed under the orthographic projection assumption. In the case of a large field of view, however, this assumption does not hold and may result in significant reconstruction errors in methods that make this assumption. To address this problem, we present the perspective phase angle (PPA) model that is applicable to perspective cameras. Compared with the orthographic model, the proposed PPA model accurately describes the relationship between polarization phase angle and surface normal under perspective projection. In addition, the PPA model makes it possible to estimate surface normals from only one single-view phase angle map and does not suffer from the so-called π-ambiguity problem. Experiments on real data show that the PPA model is more accurate for surface normal estimation with a perspective camera than the orthographic model.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 6 of its 34 references that are in the map. First posted on arXiv 20 Jul 2022.

Builds on

6 of 34 references.

References · 6

  1. 2019Multi-Scale Geometric Consistency Guided Multi-View Stereocited by 105
  2. 2021Shape from Polarization for Complex Scenes in the Wildcited by 53
  3. 2020Polarimetric Multi-View Inverse Renderingcited by 28
  4. 2017Linear Differential Constraints for Photo-polarimetric Height Estimationcited by 9
  5. 2021Polarimetric Monocular Dense Mapping Using Relative Deep Depth Priorcited by 8
  6. 2021Deep Snapshot HDR Reconstruction Based on the Polarization Cameracited by 7

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 1; 2024: 5; 2025: 1; 2026: 2.

11 papers.