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We introduce a 3D reconstruction technique based on near-light photometric stereo, where lighting calibration is achieved on-the-fly from a rough geometric knowledge obtained, e.g., by structure-from-motion. From this coarse geometry, the proposed graduated optimisation setup estimates all light source parameters (position, intensity, orientation, and anisotropy factor of each source), which can then be used within a calibrated photometric stereo algorithm. A series of real-world experiments is conducted, which validates the interest of the proposed approach.

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Self-calibrated Near-Light Photometric Stereo Using a Geometric Proxy

  • 会议论文

  • 发表日期：

    2025年

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  • Benjamin Coupry,
  • François Lauze,
  • Antoine Laurent,
  • Jean Melou,
  • Yvain Quéau,
  • Jean-Denis Durou

摘要

We introduce a 3D reconstruction technique based on near-light photometric stereo, where lighting calibration is achieved on-the-fly from a rough geometric knowledge obtained, e.g., by structure-from-motion. From this coarse geometry, the proposed graduated optimisation setup estimates all light source parameters (position, intensity, orientation, and anisotropy factor of each source), which can then be used within a calibrated photometric stereo algorithm. A series of real-world experiments is conducted, which validates the interest of the proposed approach.