mlsanityData to 14 Oct 2026

Discontinuity-aware Normal Integration for Generic Central Camera Models

arXiv 2507.06075 ↗First posted 8 Jul 2025cs.CVcited by 1

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Abstract (arXiv)

Recovering a 3D surface from its surface normal map, a problem known as normal integration, is a key component for photometric shape reconstruction techniques such as shape-from-shading and photometric stereo. The vast majority of existing approaches for normal integration handle only implicitly the presence of depth discontinuities and are limited to orthographic or ideal pinhole cameras. In this paper, we propose a novel formulation that allows modeling discontinuities explicitly and handling generic central cameras. Our key idea is based on a local planarity assumption, that we model through constraints between surface normals and ray directions. Compared to existing methods, our approach more accurately approximates the relation between depth and surface normals, achieves state-of-the-art results on the standard normal integration benchmark, and is the first to directly handle generic central camera models.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 8 of its 35 references that are in the map. First posted on arXiv 8 Jul 2025.

Builds on

8 of 35 references.

References · 8

  1. 2024Rethinking Inductive Biases for Surface Normal Estimationcited by 124
  2. 2020Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially Varying Isotropic Materialscited by 56
  3. 2023Scalable, Detailed and Mask-Free Universal Photometric Stereocited by 30
  4. 2017Normal Integration: A Surveycited by 21
  5. 2024An Adaptive Screen-Space Meshing Approach for Normal Integrationcited by 7
  6. 2017Variational Methods for Normal Integrationcited by 6
  7. 2020Least squares surface reconstruction on arbitrary domainscited by 6
  8. 2024Discontinuity-preserving Normal Integration with Auxiliary Edgescited by 4

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Citing papers per year: 2025: 1.

1 paper.