A convex approach for variational super-resolution, Joint Pattern Recognition Symposium, pp.313-322, 2010. ,
High quality depth map upsampling for 3F-TOF cameras, Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp.1623-1630, 2011. ,
Normal Integration: A Survey, Journal of Mathematical Imaging and Vision, vol.60, issue.4, pp.576-593, 2018. ,
Lambertian reflectances and linear subspaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.2, pp.218-233, 2003. ,
An Efficient Representation for Irradiance Environment Maps, Proceedings of the Annual Conference on Computer Graphics and Interactive Techniques, pp.497-500, 2001. ,
A superresolution framework for high-accuracy multiview reconstruction, International Journal of Computer Vision, vol.106, issue.2, pp.172-191, 2014. ,
Super-resolution keyframe fusion for 3D modeling with high-quality textures, Proceedings of the International Conference on 3D Vision (3DV), pp.536-544, 2015. ,
Lidarboost: Depth superresolution for TOF 3D shape scanning, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.343-350, 2009. ,
Patch based synthesis for single depth image super-resolution, Proceedings of the European Conference on Computer Vision (ECCV), pp.71-84, 2012. ,
Edge-guided single depth image super resolution, IEEE Transactions on Image Processing, vol.25, issue.1, pp.428-438, 2016. ,
Depth super resolution by rigid body self-similarity in 3D, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1123-1130, 2013. ,
Similarity-aware patchwork assembly for depth image super-resolution, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3374-3381, 2014. ,
Joint super resolution and denoising from a single depth image, IEEE Transactions on Multimedia, vol.17, issue.9, pp.1525-1537, 2015. ,
Variational depth superresolution using example-based edge representations, Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp.513-521, 2015. ,
ATGV-net: accurate depth super-resolution, Proceedings of the European Conference on Computer Vision (ECCV), pp.268-284, 2016. ,
Shape From Shading: A Method for Obtaining the Shape of a Smooth Opaque Object From One View, 1970. ,
Perspective shape from shading: Ambiguity analysis and numerical approximations, SIAM Journal on Imaging Sciences, vol.5, issue.1, pp.311-342, 2012. ,
Numerical Methods for Shape-from-shading: A New Survey with Benchmarks, Computer Vision and Image Understanding, vol.109, pp.22-43, 2008. ,
Shape-fromshading: a survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.8, pp.690-706, 1999. ,
Computer Vision, Graphics, and Image Processing, vol.33, pp.174-208, 1986. ,
Numerical shape from shading and occluding boundaries, Artificial intelligence, vol.17, issue.1-3, pp.141-184, 1981. ,
Fast semi-lagrangian schemes for the eikonal equation and applications, SIAM Journal on Numerical Analysis, vol.45, issue.5, 1979. ,
An algorithm for the global solution of the shape-from-shading model, Proceedings of the International Conference on Image Analysis and Processing, pp.596-603, 1997. ,
Shape-from-shading, viscosity solutions and edges, Numerische Mathematik, vol.64, issue.1, pp.323-353, 1993. ,
A viscosity solutions approach to shapefrom-shading, SIAM Journal on Numerical Analysis, vol.29, issue.3, pp.867-884, 1992. ,
Perception as Bayesian inference, The perception of shading and reflectance, pp.409-423, 1996. ,
Shape-from-shading under complex natural illumination, Proceedings of the IEEE International Conference on Image Processing, pp.13-16, 2011. ,
Shape estimation in natural illumination, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.2553-2560, 2011. ,
Discriminative shape from shading in uncalibrated illumination, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1128-1136, 2015. ,
A Variational Approach to Shape-from-shading Under Natural Illumination, Energy Minimization Methods for Computer Vision and Pattern Recognition, pp.342-357, 2017. ,
Shape, illumination, and reflectance from shading, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.37, issue.8, pp.1670-1687, 2015. ,
Photometric Method for Determining Surface Orientation from Multiple Images, Optical Engineering, vol.19, issue.1, pp.139-144, 1980. ,
Photometric stereo under a light source with arbitrary motion, Journal of the Optical Society of America A, vol.11, issue.11, pp.3079-3089, 1994. ,
The bas-relief ambiguity, International Journal of Computer Vision, vol.35, issue.1, pp.33-44, 1999. ,
Photometric stereo with general, unknown lighting, International Journal of Computer Vision, vol.72, issue.3, pp.239-257, 2007. ,
Resolving the generalized bas-relief ambiguity by entropy minimization, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007. ,
A closed-form, consistent and robust solution to uncalibrated photometric stereo via local diffuse reflectance maxima, International Journal of Computer Vision, vol.107, issue.2, pp.139-154, 2014. ,
Solving Uncalibrated Photometric Stereo using Total Variation, Journal of Mathematical Imaging and Vision, vol.52, issue.1, pp.87-107, 2015. ,
Symps: Brdf symmetry guided photometric stereo for shape and light source estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.40, issue.1, pp.221-234, 2018. ,
Uncalibrated photometric stereo under natural illumination, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.2936-2945, 2018. ,
A benchmark dataset and evaluation for non-lambertian and uncalibrated photometric stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.41, issue.2, pp.271-284, 2019. ,
A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR, pp.350-359, 2017. ,
CNN-PS: CNN-based photometric stereo for general non-convex surfaces, Proceedings of the European Conference on Computer Vision (ECCV), pp.3-18, 2018. ,
Selfcalibrating deep photometric stereo networks, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. ,
Refining geometry from depth sensors using IR shading images, International Journal of Computer Vision, vol.122, issue.1, pp.1-16, 2017. ,
Intrinsic3d: High-quality 3D reconstruction by joint appearance and geometry optimization with spatially-varying lighting, Proceedings of the IEEE International Conference on Computer Vision (ICCV, pp.3114-3122, 2017. ,
Shading-based refinement on volumetric signed distance functions, ACM Transactions on Graphics, vol.34, issue.4, pp.1-96, 2015. ,
High Quality Shape from a Single RGB-D Image under Uncalibrated Natural Illumination, Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp.1617-1624, 2013. ,
Joint estimation of depth, reflectance and illumination for depth refinement, Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp.199-207, 2015. ,
Real-time depth refinement for specular objects, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4378-4386, 2016. ,
RGBD-Fusion: Real-Time High Precision Depth Recovery, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.5407-5416, 2015. ,
Real-time shading-based refinement for consumer depth cameras, ACM Transactions on Graphics, vol.33, issue.6, pp.1-200, 2014. ,
Shading-based shape refinement of RGB-D images, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1415-1422, 2013. ,
Augmenting depth camera output using photometric stereo, Proceedings of the IAPR Conference on Machine Vision Applications (MVA), pp.369-372, 2011. ,
Photometric refinement of depth maps for multi-albedo objects, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.933-941, 2015. ,
A selfcalibrated photo-geometric depth camera, The Visual Computer, 2018. ,
High-Resolution Depth Refinement by Photometric and Multi-shading Constraints, PRICAI 2018: Trends in Artificial Intelligence, pp.201-209, 2018. ,
An application of Markov random fields to range sensing, Advances in Neural Information Processing Systems, pp.291-298, 2006. ,
Image guided depth upsampling using anisotropic total generalized variation, Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp.993-1000, 2013. ,
Spatial-depth super resolution for range images, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007. ,
Depth image superresolution based on joint sparse coding, Pattern Recognition Letters, 2019. ,
Depth map super-resolution by deep multi-scale guidance, Proceedings of European Conference on Computer Vision (ECCV), pp.353-369, 2016. ,
Subpixel photometric stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.8, pp.1460-1471, 2008. ,
Motion-free super-resolution, 2005. ,
A 3D imaging framework based on high-resolution photometricstereo and low-resolution depth, International Journal of Computer Vision, vol.102, issue.1-3, pp.18-32, 2013. ,
Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.164-174, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-02118545
Depth superresolution meets uncalibrated photometric stereo, Proceedings of the IEEE International Conference on Computer Vision (ICCV) Workshops, pp.2961-2968, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-02118570
Bayesian rationale for the variational formulation," in Geometry-driven diffusion in computer vision, pp.135-146, 1994. ,
Efficient minimalsurface regularization of perspective depth maps in variational stereo, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.511-520, 2015. ,
The retinex theory of color vision, Scientific American, vol.237, issue.6, pp.108-120, 1977. ,
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Foundations and Trends in Machine Learning, vol.3, issue.1, pp.1-122, 2011. ,
On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators, Mathematical Programming, vol.55, issue.1, pp.293-318, 1992. ,
Sur l'approximation, pa? eléments finis d'ordre un, et la résolution, par pénalisation-dualité d'une classe de problèmes de Dirichlet non linéaires, vol.9, pp.41-76, 1975. ,
Real-time minimization of the piecewise smooth Mumford-Shah functional, Proceedings of the European Conference on Computer Vision (ECCV), pp.127-141, 2014. ,
minFunc: unconstrained differentiable multivariate optimization in Matlab, 2005. ,
On the limited memory BFGS method for large scale optimization, Mathematical programming, vol.45, issue.1, pp.503-528, 1989. ,
Guided image filtering, IEEE Transactions on Pattern Analysis and Machine Intelligence, issue.6, pp.1397-1409, 2013. ,
Intrinsic images using optimization, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3481-3487, 2011. ,
Revisiting deep intrinsic image decompositions, Proceedings of The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.8944-8952, 2018. ,
Intrinsic face image decomposition with human face priors, Proceedings of the European Conference on Computer Vision (ECCV), pp.218-233, 2014. ,
Depth map prediction from a single image using a multi-scale deep network, Advances in Neural Information Processing Systems, pp.2366-2374, 2014. ,
Face normals "in-the-wild" using fully convolutional networks, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR, pp.38-47, 2017. ,
Neural face editing with intrinsic image disentangling, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR, pp.5444-5453, 2017. ,
Pixel2mesh: Generating 3d mesh models from single rgb images, Proceedings of the European Conference on Computer Vision (ECCV), 2018. ,
SfSNet: Learning Shape, Refectance and Illuminance of Faces in the Wild, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.6296-6305, 2018. ,
Learning non-lambertian object intrinsics across shapenet categories, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR, pp.5844-5853, 2017. ,
Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination, Proceedings of the 18th Eurographics Conference on Rendering Techniques, pp.183-194, 2007. ,
Effect of illumination on automatic expression recognition: A novel 3d relightable facial database, Face and Gesture, pp.611-618, 2011. ,
U-net: Convolutional networks for biomedical image segmentation, Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp.234-241, 2015. ,
Anisotropic Huber-L1 Optical Flow, Proceedings of the British Machine Vision Conference, vol.11, pp.108-109, 2009. ,
A microfacet-based reflectance model for photometric stereo with highly specular surfaces, Proceedings of the IEEE International Conference on Computer Vision (ICCV, pp.3162-3170, 2017. ,
Learning to predict indoor illumination from a single image, ACM Transactions on Graphics, vol.36, issue.6, pp.1-176, 2017. ,
LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution, Journal of Mathematical Imaging and Vision, vol.60, issue.3, pp.313-340, 2018. ,
Accuracy of spherical harmonic approximations for images of Lambertian objects under far and near lighting, Proceedings of the European Conference on Computer Vision (ECCV), pp.574-587, 2004. ,
Direct intrinsics: Learning albedo-shading decomposition by convolutional regression, Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015. ,
A naturalistic open source movie for optical flow evaluation, Proceedings of the European Conference on Computer Vision (ECCV), pp.611-625, 2012. ,
Ground truth dataset and baseline evaluations for intrinsic image algorithms, Proceedings of the IEEE International Conference on Computer Vision, pp.2335-2342, 2009. ,
ShapeNet: An Information-Rich 3D Model Repository, 2015. ,
The stanford 3d scanning repository, 2005. ,
, The joyful yell, p.897412, 2015.
Accuracy and resolution of Kinect depth data for indoor mapping applications, Sensors, vol.12, issue.2, pp.1437-1454, 2012. ,
Mean squared error: Love it or leave it? a new look at signal fidelity measures, IEEE signal processing magazine, vol.26, issue.1, pp.98-117, 2009. ,
Intrinsic3D Dataset, 2017. ,
Variational methods for normal integration, Journal of Mathematical Imaging and Vision, vol.60, issue.4, pp.609-632, 2018. ,