Bilateral Normal Integration

Abstract

This paper studies the discontinuity preservation problem in recovering a surface from its surface normal map. To model discontinuities, we introduce the assumption that the surface to be recovered is semi-smooth, i.e., the surface is one-sided differentiable (hence one-sided continuous) everywhere in the horizontal and vertical directions. Under the semi-smooth surface assumption, we propose a bilaterally weighted functional for discontinuity preserving normal integration. The key idea is to relatively weight the one-sided differentiability at each point’s two sides based on the definition of one-sided depth discontinuity. As a result, our method effectively preserves discontinuities and alleviates the under- or over-segmentation artifacts in the recovered surfaces compared to existing methods. Further, we unify the normal integration problem in the orthographic and perspective cases in a new way and show effective discontinuity preservation results in both cases.

Cite

Text

Cao et al. "Bilateral Normal Integration." Proceedings of the European Conference on Computer Vision (ECCV), 2022. doi:10.1007/978-3-031-19769-7_32

Markdown

[Cao et al. "Bilateral Normal Integration." Proceedings of the European Conference on Computer Vision (ECCV), 2022.](https://mlanthology.org/eccv/2022/cao2022eccv-bilateral/) doi:10.1007/978-3-031-19769-7_32

BibTeX

@inproceedings{cao2022eccv-bilateral,
  title     = {{Bilateral Normal Integration}},
  author    = {Cao, Xu and Santo, Hiroaki and Shi, Boxin and Okura, Fumio and Matsushita, Yasuyuki},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  year      = {2022},
  doi       = {10.1007/978-3-031-19769-7_32},
  url       = {https://mlanthology.org/eccv/2022/cao2022eccv-bilateral/}
}