English

Variational Uncalibrated Photometric Stereo under General Lighting

Computer Vision and Pattern Recognition 2019-08-29 v2

Abstract

Photometric stereo (PS) techniques nowadays remain constrained to an ideal laboratory setup where modeling and calibration of lighting is amenable. To eliminate such restrictions, we propose an efficient principled variational approach to uncalibrated PS under general illumination. To this end, the Lambertian reflectance model is approximated through a spherical harmonic expansion, which preserves the spatial invariance of the lighting. The joint recovery of shape, reflectance and illumination is then formulated as a single variational problem. There the shape estimation is carried out directly in terms of the underlying perspective depth map, thus implicitly ensuring integrability and bypassing the need for a subsequent normal integration. To tackle the resulting nonconvex problem numerically, we undertake a two-phase procedure to initialize a balloon-like perspective depth map, followed by a "lagged" block coordinate descent scheme. The experiments validate efficiency and robustness of this approach. Across a variety of evaluations, we are able to reduce the mean angular error consistently by a factor of 2-3 compared to the state-of-the-art.

Keywords

Cite

@article{arxiv.1904.03942,
  title  = {Variational Uncalibrated Photometric Stereo under General Lighting},
  author = {Bjoern Haefner and Zhenzhang Ye and Maolin Gao and Tao Wu and Yvain Quéau and Daniel Cremers},
  journal= {arXiv preprint arXiv:1904.03942},
  year   = {2019}
}

Comments

Haefner and Ye contributed equally

R2 v1 2026-06-23T08:32:39.152Z