Photometric Stereo Using Sparse Bayesian Regression for General Diffuse Surfaces
暂无分享,去创建一个
Kiyoharu Aizawa | Yasuyuki Matsushita | David P. Wipf | Satoshi Ikehata | K. Aizawa | D. Wipf | Y. Matsushita | Satoshi Ikehata
[1] Robert L. Cook,et al. A Reflectance Model for Computer Graphics , 1987, TOGS.
[2] Ravi Ramamoorthi,et al. A theory of differential photometric stereo for unknown isotropic BRDFs , 2011, CVPR 2011.
[3] Katsushi Ikeuchi,et al. A biquadratic reflectance model for radiometric image analysis , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Alessio Del Bue,et al. Bilinear Modeling via Augmented Lagrange Multipliers (BALM) , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Tai-Pang Wu,et al. Dense photometric stereo using a mirror sphere and graph cut , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[6] Steven A. Shafer,et al. Using color to separate reflection components , 1985 .
[7] Steven M. Seitz,et al. Example-based photometric stereo: shape reconstruction with general, varying BRDFs , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Maria Petrou,et al. Recursive photometric stereo when multiple shadows and highlights are present , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Ravi Ramamoorthi,et al. What an image reveals about material reflectance , 2011, 2011 International Conference on Computer Vision.
[10] Sang Wook Lee,et al. Photometric Stereo from Maximum Feasible Lambertian Reflections , 2010, ECCV.
[11] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[12] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[13] Kiyoharu Aizawa,et al. Robust photometric stereo using sparse regression , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Steven M. Seitz,et al. Shape and spatially-varying BRDFs from photometric stereo , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[15] Szymon Rusinkiewicz,et al. A New Change of Variables for Efficient BRDF Representation , 1998, Rendering Techniques.
[16] George Eastman House,et al. Sparse Bayesian Learning and the Relevance Vector Machine , 2001 .
[17] Takeshi Shakunaga,et al. Analysis of photometric factors based on photometric linearization. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.
[18] Bhaskar D. Rao,et al. Latent Variable Bayesian Models for Promoting Sparsity , 2011, IEEE Transactions on Information Theory.
[19] David P. Wipf,et al. Iterative Reweighted 1 and 2 Methods for Finding Sparse Solutions , 2010, IEEE J. Sel. Top. Signal Process..
[20] Takahiro Okabe,et al. Shape Reconstruction Based on Similarity in Radiance Changes under Varying Illumination , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[21] Wojciech Matusik,et al. A data-driven reflectance model , 2003, ACM Trans. Graph..
[22] Maria Petrou,et al. The 4-Source Photometric Stereo Technique for Three-Dimensional Surfaces in the Presence of Highlights and Shadows , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Takayuki Okatani,et al. Optimal integration of photometric and geometric surface measurements using inaccurate reflectance/illumination knowledge , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Yongtian Wang,et al. Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery , 2010, ACCV.
[25] Paolo Favaro,et al. A closed-form solution to uncalibrated photometric stereo via diffuse maxima , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Donald P. Greenberg,et al. Non-linear approximation of reflectance functions , 1997, SIGGRAPH.
[27] Todd E. Zickler,et al. Blind Reflectometry , 2010, ECCV.
[28] Katsushi Ikeuchi,et al. Consensus photometric stereo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[29] Roberto Cipolla,et al. Multiview Photometric Stereo , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Katsushi Ikeuchi,et al. Median Photometric Stereo as Applied to the Segonko Tumulus and Museum Objects , 2009, International Journal of Computer Vision.
[31] Rama Chellappa,et al. What Is the Range of Surface Reconstructions from a Gradient Field? , 2006, ECCV.
[32] Luc Van Gool,et al. Photometric stereo with coherent outlier handling and confidence estimation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Berthold K. P. Horn,et al. Determining Shape and Reflectance Using Multiple Images , 1978 .
[34] David J. Kriegman,et al. Isotropy, Reciprocity and the Generalized Bas-Relief Ambiguity , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Robert J. Woodham,et al. Photometric method for determining surface orientation from multiple images , 1980 .
[36] David J. Kriegman,et al. Photometric stereo with non-parametric and spatially-varying reflectance , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Jiaya Jia,et al. Efficient photometric stereo on glossy surfaces with wide specular lobes , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[38] David J. Kriegman,et al. Beyond Lambert: reconstructing specular surfaces using color , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[39] Tien-Tsin Wong,et al. Dense photometric stereo using tensorial belief propagation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[40] 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.
[41] Gregory J. Ward,et al. Measuring and modeling anisotropic reflection , 1992, SIGGRAPH.
[42] David J. Kriegman,et al. Toward Reconstructing Surfaces With Arbitrary Isotropic Reflectance : A Stratified Photometric Stereo Approach , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[43] David J. Kriegman,et al. ShadowCuts: Photometric Stereo with Shadows , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[44] K. Torrance,et al. Theory for off-specular reflection from roughened surfaces , 1967 .
[45] E. Vieth. Fitting piecewise linear regression functions to biological responses. , 1989, Journal of applied physiology.
[46] Hanspeter Pfister,et al. Visibility Subspaces: Uncalibrated Photometric Stereo with Shadows , 2010, ECCV.
[47] Miao Liao,et al. Interreflection removal for photometric stereo by using spectrum-dependent albedo , 2011, CVPR 2011.
[48] Katsushi Ikeuchi,et al. Elevation Angle from Reflectance Monotonicity: Photometric Stereo for General Isotropic Reflectances , 2012, ECCV.
[49] H. Damasio,et al. IEEE Transactions on Pattern Analysis and Machine Intelligence: Special Issue on Perceptual Organization in Computer Vision , 1998 .
[50] R. Cipolla,et al. Multi-view photometric stereo , 2007 .
[51] Simon Fuhrmann,et al. Photometric stereo for outdoor webcams , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[52] Long Quan,et al. The Geometry of Reflectance Symmetries , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.