Reproduce “DP-SfM: Dual-Pixel Structure-from-Motion without Scale Ambiguity” on OpenResearch

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About this paper

Lilika Makabe, Kohei Ashida, Hiroaki Santo, Fumio Okura, Yasuyuki Matsushita

This research introduces DP-SfM, a method for automatically determining the absolute scale in multi-view 3D reconstruction by utilizing dual-pixel (DP) images. By coupling SfM-derived depths with DP defocus blur information through a thin-lens model, the system achieves absolute scene scale estimation without requiring external references, calibration targets, or extensive training data, demonstrating superior accuracy compared to learning-based monocular depth estimators.

Key insights

  • The fundamental scale ambiguity in Structure-from-Motion (SfM) can be resolved by jointly considering the focus distance ambiguity present in defocus blur information derived from dual-pixel images, linked by the thin-lens model.
  • Dual-pixel sensors provide a unique and robust way to estimate defocus blur sizes from uncalibrated image data, making them ideal for passively extracting the depth-related cues needed for absolute scale recovery.
  • A two-stage methodology, combining an efficient linear initialization with a refinement based on intensity alignment, enhances the overall accuracy and robustness of scale estimation, mitigating errors from initial blur size estimations.

Summary by alphaXiv.

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