Photometric Stereo
Estimating albedo, surface normal, depth from multiple illuminated images.
About
This repo implements some photometric stereo algorithms. The algorithms can be found the following papers:
- Shape and Albedo from MUltiple Images using Integrability (Yuille and Snow)
- Resolving the Generalized Bas-Relief Ambiguity by Entropy Minimization (Alldrin et al.)
- A Closed-Form Solution to Uncalibrated Photometric Stereo via Diffuse Maxima (Favaro et al.)
- Self-calibrating Photometric Stereo (Shi et al.)
Dataset
Harvard Photometric Stereo Dataset
Results
Albedo, normals, and depth estimation
Resolving GBR ambiguity
| cat | women | frog |
|---|---|---|
 |
 |
 |
CPU and GPU versions
Both Numpy and Pytorch implementations are provided. The code is tested on a Intel(R) Xeon(R) CPU E5-2630 v4 @ 2.20GHz CPU and a GeForce GTX 1080 Ti GPU.
| Dataset | Numpy | Pytorch |
|---|---|---|
| cat | 93.46s | 10.61s |
| women | 71.58s | 9.54s |
| frog | 103.13s | 10.94s |
Todo
- Coarse to fine refinement
- Paper: Reflections on the Generalized Bas-Relief Ambiguity