Name
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 $\\ell _{p}$ -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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIP.2016.2636661 | IEEE Trans. Image Processing |
Keywords | Field | DocType |
Robustness,Image reconstruction,Calibration,Lighting,Light sources,Image edge detection,Cameras | Iterative reconstruction,Computer vision,Pattern recognition,Specular reflection,Albedo,Hough transform,Robustness (computer science),Image noise,Artificial intelligence,Calibration,Mathematics,Photometric stereo | Journal |
Volume | Issue | ISSN |
26 | 3 | 1057-7149 |
Citations | PageRank | References |
4 | 0.42 | 29 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingtang Liao | 1 | 9 | 1.89 |
| Bert Buchholz | 2 | 21 | 2.75 |
| Jean-Marc Thiery | 3 | 58 | 8.14 |
| Pablo Bauszat | 4 | 77 | 8.25 |
| Elmar Eisemann | 5 | 35 | 6.55 |