Self-Calibrating Deep Photometric Stereo Networks
暂无分享,去创建一个
Yasuyuki Matsushita | Kai Han | Boxin Shi | Kwan-Yee Kenneth Wong | Guanying Chen | Kwan-Yee Kenneth Wong | Y. Matsushita | K. Han | Guanying Chen | Boxin Shi
[1] Yannick Hold-Geoffroy,et al. Deep Outdoor Illumination Estimation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Andrew Jones,et al. Relighting human locomotion with flowed reflectance fields , 2006, EGSR '06.
[3] David J. Kriegman,et al. Reflections on the generalized bas-relief ambiguity , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[4] Roberto Cipolla,et al. Multiview Photometric Stereo , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Takahiro Okabe,et al. Shape Reconstruction Based on Similarity in Radiance Changes under Varying Illumination , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[6] Yaser Yacoob,et al. Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Kai Han,et al. PS-FCN: A Flexible Learning Framework for Photometric Stereo , 2018, ECCV.
[8] Paolo Favaro,et al. A Closed-Form, Consistent and Robust Solution to Uncalibrated Photometric Stereo Via Local Diffuse Reflectance Maxima , 2013, International Journal of Computer Vision.
[9] Steven M. Seitz,et al. Example-based photometric stereo: shape reconstruction with general, varying BRDFs , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Yoichi Sato,et al. SymPS: BRDF Symmetry Guided Photometric Stereo for Shape and Light Source Estimation , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] David J. Kriegman,et al. Resolving the Generalized Bas-Relief Ambiguity by Entropy Minimization , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Yasuyuki Matsushita,et al. Self-calibrating photometric stereo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[14] Satoshi Ikehata,et al. CNN-PS: CNN-based Photometric Stereo for General Non-Convex Surfaces , 2018, ECCV.
[15] Mike J. Chantler,et al. Can two specular pixels calibrate photometric stereo? , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[16] David J. Kriegman,et al. The Bas-Relief Ambiguity , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[17] Athinodoros S. Georghiades,et al. Incorporating the Torrance and Sparrow model of reflectance in uncalibrated photometric stereo , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[18] Daniel Snow,et al. Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability , 1999, International Journal of Computer Vision.
[19] Wojciech Matusik,et al. A data-driven reflectance model , 2003, ACM Trans. Graph..
[20] Takanori Maehara,et al. Neural Inverse Rendering for General Reflectance Photometric Stereo , 2018, ICML.
[21] Ersin Yumer,et al. Learning to predict indoor illumination from a single image , 2017, ACM Trans. Graph..
[22] Andrew Zisserman,et al. SilNet : Single- and Multi-View Reconstruction by Learning from Silhouettes , 2017, BMVC.
[23] Yasuyuki Matsushita,et al. Deep Photometric Stereo Network , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[24] Robert J. Woodham,et al. Photometric method for determining surface orientation from multiple images , 1980 .
[25] Takahiro Okabe,et al. Attached shadow coding: Estimating surface normals from shadows under unknown reflectance and lighting conditions , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[26] Takahiro Okabe,et al. Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Jean-François Lalonde,et al. Learning to Estimate Indoor Lighting from 3D Objects , 2018, 2018 International Conference on 3D Vision (3DV).
[28] Hideki Hayakawa. Photometric stereo under a light source with arbitrary motion , 1994 .
[29] Yasuyuki Matsushita,et al. Photometric Stereo Under Non-uniform Light Intensities and Exposures , 2016, ECCV.
[30] David J. Kriegman,et al. Photometric stereo with non-parametric and spatially-varying reflectance , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Zhe Wu,et al. Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[32] David J. Kriegman,et al. Isotropy, Reciprocity and the Generalized Bas-Relief Ambiguity , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Yoichi Sato,et al. Uncalibrated photometric stereo based on elevation angle recovery from BRDF symmetry of isotropic materials , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Ping Tan,et al. A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Berthold K. P. Horn,et al. Determining Shape and Reflectance Using Multiple Images , 1978 .
[36] Zhe Wu,et al. A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo , 2019, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).