An Improved Eikonal Method for Surface Normal Integration, German Conference on Pattern Recognition (GCPR), pp.274-284, 2015. ,
DOI : 10.1007/978-3-319-24947-6_22
On variational approach to photometric stereo Annales de l'Institut Henri Poincaré (C) Analyse non linéaire, pp.363-375, 1993. ,
DOI : 10.1016/s0294-1449(16)30206-2
URL : http://archive.numdam.org/article/AIHPC_1993__10_4_363_0.pdf
Active photometric stereo, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.29-34, 1992. ,
DOI : 10.1109/CVPR.1992.223231
Integrating the Normal Field of a Surface in the Presence of Discontinuities, Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), pp.261-273, 2009. ,
DOI : 10.1109/TPAMI.2007.70820
Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction, 2015 IEEE International Conference on Computer Vision (ICCV), pp.846-854, 2015. ,
DOI : 10.1109/ICCV.2015.103
Regularized Reconstruction of a Surface from its Measured Gradient Field, Journal of Mathematical Imaging and Vision, vol.19, issue.1, pp.46-70, 2015. ,
DOI : 10.1007/s10851-014-0505-4
On the ratio of two correlated normal random variables, Biometrika, vol.56, issue.3, pp.635-639, 1969. ,
DOI : 10.1093/biomet/56.3.635
Topics in Matrix Analysis, 1994. ,
DOI : 10.1017/CBO9780511840371
Photometric Stereo Using Sparse Bayesian Regression for General Diffuse Surfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.9, pp.1816-1831, 2014. ,
DOI : 10.1109/TPAMI.2014.2299798
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.645.2377
Generalised Perspective Shape from Shading with Oren-Nayar Reflectance, Procedings of the British Machine Vision Conference 2013, 2013. ,
DOI : 10.5244/C.27.42
Matrix differential calculus with applications to simple, hadamard, and kronecker products, Journal of Mathematical Psychology, vol.29, issue.4, pp.474-492, 1985. ,
DOI : 10.1016/0022-2496(85)90006-9
Matrix Differential Calculus with Applications in Statistics and Econometrics., Biometrics, vol.44, issue.4, 2007. ,
DOI : 10.2307/2531754
Unifying diffuse and specular reflections for the photometric stereo problem, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), pp.1-9, 2016. ,
DOI : 10.1109/WACV.2016.7477643
Near Field Photometric Stereo with Point Light Sources, SIAM Journal on Imaging Sciences, vol.7, issue.4, pp.2732-2770, 2014. ,
DOI : 10.1137/140968100
Proximit?? et dualit?? dans un espace hilbertien, Bulletin de la Société mathématique de France, vol.79, pp.273-299, 1965. ,
DOI : 10.24033/bsmf.1625
URL : http://archive.numdam.org/article/BSMF_1965__93__273_0.pdf
Unifying abstract inexact convergence theorems for descent methods and block coordinate variable metric ipiano, 2016. ,
iPiano: Inertial Proximal Algorithm for Nonconvex Optimization, SIAM Journal on Imaging Sciences, vol.7, issue.2, pp.1388-1419, 2014. ,
DOI : 10.1137/130942954
URL : http://arxiv.org/abs/1404.4805
Uncalibrated Near-Light Photometric Stereo, Proceedings of the British Machine Vision Conference 2014, 2014. ,
DOI : 10.5244/C.28.128
URL : http://dx.doi.org/10.7892/boris.67317
The matrix cookbook, 2012 Available from https ,
Tensor products and matrix differential calculus, Linear Algebra and its Applications, vol.67, pp.169-193, 1985. ,
DOI : 10.1016/0024-3795(85)90194-6
URL : http://doi.org/10.1016/0024-3795(85)90194-6
A $$L^1$$ -TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings, Scale Space and Variational Methods in Computer Vision (SSVM), pp.498-510, 2015. ,
DOI : 10.1007/978-3-319-18461-6_40
Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2016.472
Enforcing integrability by error correction using l 1 -minimization, IEEE Conference on Computer Vision and Pattern Recognition, 2009. ,
DOI : 10.1109/cvpr.2009.5206603
A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2016.403
Height from photometric ratio with model-based light source selection, Computer Vision and Image Understanding, vol.145, pp.128-138, 2016. ,
DOI : 10.1016/j.cviu.2015.11.019
Direct Differential Photometric Stereo Shape Recovery of Diffuse and Specular Surfaces, Journal of Mathematical Imaging and Vision, vol.86, issue.1, p.57, 2016. ,
DOI : 10.1007/s10851-016-0633-0
URL : https://www.repository.cam.ac.uk/bitstream/handle/1810/254003/Tozza%20et%20al%202016%20Journal%20of%20Mathematical%20Imaging%20and%20Vision.pdf?sequence=1&isAllowed=n
Photometric Method For Determining Surface Orientation From Multiple Images, Optical Engineering, vol.19, issue.1, pp.134-144, 1980. ,
DOI : 10.1117/12.7972479
Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery, Asian Conference on Computer Vision (ACCV), pp.703-717, 2010. ,
DOI : 10.1145/965161.806819
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.8921
Dense Photometric Stereo: A Markov Random Field Approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.11, pp.1830-1846, 2006. ,
Variational Regularization and Fusion of Surface Normal Maps, 2014 2nd International Conference on 3D Vision, 2014. ,
DOI : 10.1109/3DV.2014.92