This paper presents a robust photometric stereo method that effectively compensates for various non-Lambertian corruptions such as specularities, shadows, ...
This paper presents a robust photometric stereo method that effectively compensates for various non-Lambertian corruptions such as specularities, shadows, and ...
Oct 22, 2024 · This paper presents a robust photometric stereo method that effectively compensates for various non-Lambertian corruptions such as specularities ...
Robust Photometric Stereo effectively disregards such outliers based on sparse regression. This code implements robust photometric stereo based on: L1 ...
This paper presents a robust photometric stereo method that effectively compensates for various non-Lambertian corruptions such as specularities, shadows, and ...
This paper presents a robust photometric stereo method that effectively compensates for various non-Lambertian corruptions such as specularities, shadows, ...
This paper presents a robust photometric stereo method that effectively compensates for various non-Lambertian corruptions such as specularities, shadows, ...
Robust photometric stereo using sparse regression. CVPR 2012: 318-325. :return: None. Compute surface normal : numpy array of surface normal (p \times 3).
People also ask
What is sparse regression?
What is the impact of shadows in photometric stereo?
This paper presents a robust photometric stereo method that effectively compensates for various non-Lambertian corruptions such as specularities, shadows, ...
We present a new approach to robustly solve photometric stereo problems. We cast the problem of recovering surface normals from multiple lighting conditions ...