Abstract
We propose a novel framework for photometric stereo (PS) under low-light conditions using uncalibrated near-light illumination. It operates on free-form video sequences captured with a minimalistic and affordable setup. We address issues such as albedo variations, shadowing, perspective projections, and camera noise. Our method uses specular spheres detected with a perspective-correcting Hough transform to robustly triangulate light positions in the presence of outliers via a least-squares approach. Furthermore, we propose an iterative reweighting scheme in combination with an ℓp-norm minimizer to robustly solve the calibrated near-light PS problem. In contrast to other approaches, our framework reconstructs depth, albedo (relative to light source intensity), and normals simultaneously and is demonstrated on synthetic and real-world scenes.
Original language | English |
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Pages (from-to) | 1089-1101 |
Number of pages | 23 |
Journal | IEEE Transactions on Image Processing |
Volume | 26 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2017 |
Keywords
- albedo
- Image processing
- photometric stereo
- near-light
- sphere detection
- light calibration
- normal
- depth