Research map / Probabilistic and scientific modeling / Variational and generative sampling
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace least-squares loss with a redescending robust estimator (ΦC) (ablation) | Photometric stereo · Reading | mean angular error (°): 22.49 -> 13.71 | Helped |
| explicitly model self-shadows instead of treating them as outliers (ablation) | Photometric stereo with ΦC · Reading | mean angular error (°): 13.71 -> 13.69 | Helped |
| refine lighting directions and intensities (ablation) | Photometric stereo with ΦC and explicit self-shadows · Reading | mean angular error (°): 13.69 -> 13.51 | Helped |
Closest papers by meaning
- A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo (CVPR 2016 · similarity 0.90)
- Semi-Calibrated Near Field Photometric Stereo (CVPR 2017 · similarity 0.89)
- Uncalibrated Photometric Stereo Under Natural Illumination (CVPR 2018 · similarity 0.88)
- Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo (CVPR 2024 · similarity 0.87)
- Differentiable Display Photometric Stereo (CVPR 2024 · similarity 0.84)
- DiLiGenRT: A Photometric Stereo Dataset with Quantified Roughness and Translucency (CVPR 2024 · similarity 0.84)
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