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ORCIDRon Kimmel
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- affiliation: Technion - Israel Institute of Technology, Haifa, Israel
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2020 – today
- 2023
[j94]Hao Liu
, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
Elastica Models for Color Image Regularization. SIAM J. Imaging Sci. 16(1): 461-500 (2023)- [c116]Saar Huberman, Amit Bracha, Ron Kimmel:
Deep Accurate Solver for the Geodesic Problem. SSVM 2023: 288-300 - [c115]Roy Velich, Ron Kimmel:
Learning Differential Invariants of Planar Curves. SSVM 2023: 575-587 - [c114]David Bensaïd, Amit Bracha, Ron Kimmel:
Partial Shape Similarity by Multi-metric Hamiltonian Spectra Matching. SSVM 2023: 717-729 - [i59]Roy Velich, Ron Kimmel:
Learning Differential Invariants of Planar Curves. CoRR abs/2303.03458 (2023) - [i58]Noam Rotstein, David Bensaïd, Shaked Brody, Roy Ganz, Ron Kimmel:
FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions. CoRR abs/2305.17718 (2023) - [i57]Amit Bracha, Thomas Dagès, Ron Kimmel:
On Partial Shape Correspondence and Functional Maps. CoRR abs/2310.14692 (2023) - 2022
- [j93]Gautam Pai, Alex M. Bronstein, Ronen Talmon, Ron Kimmel:
Deep Isometric Maps. Image Vis. Comput. 123: 104461 (2022) - [j92]Omer Dilian, Ron Kimmel, Roy Tezmah-Shahar, Maayan Agmon:
Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review. Sensors 22(17): 6640 (2022) - [j91]Oshri Halimi, Tuur Stuyck, Donglai Xiang, Timur M. Bagautdinov, He Wen, Ron Kimmel, Takaaki Shiratori, Chenglei Wu, Yaser Sheikh, Fabian Prada:
Pattern-Based Cloth Registration and Sparse-View Animation. ACM Trans. Graph. 41(6): 196:1-196:17 (2022) - [c113]Noam Rotstein, Amit Bracha, Ron Kimmel:
Multimodal Colored Point Cloud to Image Alignment. CVPR 2022: 6646-6656 - [c112]Ron Slossberg, Ibrahim Jubran, Ron Kimmel:
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction. ECCV (13) 2022: 212-229 - [i56]Roy Velich, Ron Kimmel:
Deep Signatures - Learning Invariants of Planar Curves. CoRR abs/2202.05922 (2022) - [i55]Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
Elastica Models for Color Image Regularization. CoRR abs/2203.09995 (2022) - [i54]Oshri Halimi, Fabian Prada, Tuur Stuyck, Donglai Xiang, Timur M. Bagautdinov, He Wen, Ron Kimmel, Takaaki Shiratori, Chenglei Wu, Yaser Sheikh:
Garment Avatars: Realistic Cloth Driving using Pattern Registration. CoRR abs/2206.03373 (2022) - [i53]David Bensaïd, Amit Bracha, Ron Kimmel:
Partial Shape Similarity via Alignment of Multi-Metric Hamiltonian Spectra. CoRR abs/2207.03018 (2022) - 2021
- [j90]Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
A Color Elastica Model for Vector-Valued Image Regularization. SIAM J. Imaging Sci. 14(2): 717-748 (2021) - [c111]Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman:
Provably Approximated Point Cloud Registration. ICCV 2021: 13249-13258 - [i52]Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman:
Provably Approximated ICP. CoRR abs/2101.03588 (2021) - [i51]Benjamin Groisser, Alon Wolf, Ron Kimmel:
U-mesh: Human Correspondence Matching with Mesh Convolutional Networks. CoRR abs/2108.06695 (2021) - [i50]Noam Rotstein, Amit Bracha, Ron Kimmel:
Colored Point Cloud to Image Alignment. CoRR abs/2110.03249 (2021) - [i49]Ron Slossberg, Ibrahim Jubran, Ron Kimmel:
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction. CoRR abs/2110.04760 (2021) - [i48]Amit Bracha, Noam Rotstein, David Bensaïd, Ron Slossberg, Ron Kimmel:
Depth Refinement for Improved Stereo Reconstruction. CoRR abs/2112.08070 (2021) - 2020
- [j89]Gil Shamai, Michael Zibulevsky, Ron Kimmel:
Efficient Inter-Geodesic Distance Computation and Fast Classical Scaling. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 74-85 (2020) - [j88]Aviad Zabatani, Vitaly Surazhsky, Erez Sperling, Sagi Ben-Moshe, Ohad Menashe, David H. Silver, Zachi Karni, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Intel® RealSense™ SR300 Coded Light Depth Camera. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2333-2345 (2020) - [j87]Yoni Choukroun, Alon Shtern, Alexander M. Bronstein, Ron Kimmel:
Hamiltonian Operator for Spectral Shape Analysis. IEEE Trans. Vis. Comput. Graph. 26(2): 1320-1331 (2020) - [c110]Amir Livne, Ziv Aviv, Shahaf Grofit, Alex M. Bronstein, Ron Kimmel:
Do We Need Depth in State-Of-The-Art Face Authentication? 3DV 2020: 889-897 - [c109]Amit Bracha, Oshri Halimi, Ron Kimmel:
Shape Correspondence by Aligning Scale-invariant LBO Eigenfunctions. 3DOR 2020: 1-9 - [c108]Roman Rabinovich, Ibrahim Jubran, Aaron Wetzler, Ron Kimmel:
CoBe - Coded Beacons for Localization, Object Tracking, and SLAM Augmentation. CASE 2020: 1367-1374 - [c107]Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. ECCV (3) 2020: 19-35 - [c106]Sagi Levanon, Oshry Markovich, Itamar Gozlan, Ortal Bakhshian, Alon Zvirin, Yaron Honen, Ron Kimmel:
Abiotic Stress Prediction from RGB-T Images of Banana Plantlets. ECCV Workshops (6) 2020: 279-295 - [c105]Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel:
Towards Precise Completion of Deformable Shapes. ECCV (24) 2020: 359-377 - [i47]Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel:
The Whole Is Greater Than the Sum of Its Nonrigid Parts. CoRR abs/2001.09650 (2020) - [i46]Amir Livne, Alexander M. Bronstein, Ron Kimmel, Ziv Aviv, Shahaf Grofit:
Do We Need Depth in State-Of-The-Art Face Authentication? CoRR abs/2003.10895 (2020) - [i45]Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. CoRR abs/2003.12283 (2020) - [i44]Lorina Dascal, Gautam Pai, Ron Kimmel:
A modified Allen-Cahn model for pattern synthesis on surfaces. CoRR abs/2008.07654 (2020) - [i43]Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
A Color Elastica Model for Vector-Valued Image Regularization. CoRR abs/2008.08255 (2020) - [i42]Sagi Levanon, Oshry Markovich, Itamar Gozlan, Ortal Bakhshian, Alon Zvirin, Yaron Honen, Ron Kimmel:
Abiotic Stress Prediction from RGB-T Images of Banana Plantlets. CoRR abs/2011.11597 (2020)
2010 – 2019
- 2019
- [c104]Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang:
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 2019: 111-119 - [c103]Dmitry Kuznichov, Alon Zvirin, Yaron Honen, Ron Kimmel:
Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants. CVPR Workshops 2019: 2580-2589 - [c102]Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Unsupervised Learning of Dense Shape Correspondence. CVPR 2019: 4370-4379 - [c101]Mor Joseph-Rivlin, Alon Zvirin, Ron Kimmel:
Momen^et: Flavor the Moments in Learning to Classify Shapes. ICCV Workshops 2019: 4085-4094 - [c100]Daniel Greenfeld, Meirav Galun, Ronen Basri, Irad Yavneh, Ron Kimmel:
Learning to Optimize Multigrid PDE Solvers. ICML 2019: 2415-2423 - [c99]Moshe Lichtenstein, Gautam Pai, Ron Kimmel:
Deep Eikonal Solvers. SSVM 2019: 38-50 - [c98]Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel:
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. WACV 2019: 819-828 - [i41]Gil Shamai, Ron Slossberg, Ron Kimmel:
Synthesizing facial photometries and corresponding geometries using generative adversarial networks. CoRR abs/1901.06551 (2019) - [i40]Daniel Greenfeld, Meirav Galun, Ronen Basri, Irad Yavneh, Ron Kimmel:
Learning to Optimize Multigrid PDE Solvers. CoRR abs/1902.10248 (2019) - [i39]Moshe Lichtenstein, Gautam Pai, Ron Kimmel:
Deep Eikonal Solvers. CoRR abs/1903.07973 (2019) - [i38]Dmitry Kuznichov, Alon Zvirin, Yaron Honen, Ron Kimmel:
Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants. CoRR abs/1903.08583 (2019) - [i37]Gautam Pai, Mor Joseph-Rivlin, Ron Kimmel:
Bilateral Operators for Functional Maps. CoRR abs/1907.12993 (2019) - 2018
- [j86]Anastasia Dubrovina, Pavel Kisilev, Boris Ginsburg, Sharbell Y. Hashoul, Ron Kimmel:
Computational mammography using deep neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 243-247 (2018) - [j85]Alon Shtern, Matan Sela, Ron Kimmel:
Fast Blended Transformations for Partial Shape Registration. J. Math. Imaging Vis. 60(6): 913-928 (2018) - [j84]Yoni Choukroun, Gautam Pai, Ron Kimmel:
Sparse Approximation of 3D Meshes Using the Spectral Geometry of the Hamiltonian Operator. J. Math. Imaging Vis. 60(6): 941-952 (2018) - [j83]Evgeny Tenetov, Gershon Wolansky, Ron Kimmel:
Fast Entropic Regularized Optimal Transport Using Semidiscrete Cost Approximation. SIAM J. Sci. Comput. 40(5): A3400-A3422 (2018) - [c97]Oshri Halimi, Ron Kimmel:
Self Functional Maps. 3DV 2018: 710-718 - [c96]Shihao Wu, Hui Huang, Tiziano Portenier, Matan Sela, Daniel Cohen-Or, Ron Kimmel, Matthias Zwicker:
Specular-to-Diffuse Translation for Multi-view Reconstruction. ECCV (4) 2018: 193-211 - [c95]Ron Slossberg, Gil Shamai, Ron Kimmel:
High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks. ECCV Workshops (3) 2018: 498-513 - [i36]Oshri Halimi, Ron Kimmel:
Self Functional Maps. CoRR abs/1804.08080 (2018) - [i35]Shihao Wu, Hui Huang, Tiziano Portenier, Matan Sela, Daniel Cohen-Or, Ron Kimmel, Matthias Zwicker:
Specular-to-Diffuse Translation for Multi-View Reconstruction. CoRR abs/1807.05439 (2018) - [i34]Ron Slossberg, Gil Shamai, Ron Kimmel:
High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks. CoRR abs/1808.08281 (2018) - [i33]Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Self-supervised Learning of Dense Shape Correspondence. CoRR abs/1812.02415 (2018) - [i32]Mor Joseph-Rivlin, Alon Zvirin, Ron Kimmel:
Mo-Net: Flavor the Moments in Learning to Classify Shapes. CoRR abs/1812.07431 (2018) - 2017
- [c94]Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. 3DV 2017: 517-526 - [c93]Gil Shamai, Ron Kimmel:
Geodesic Distance Descriptors. CVPR 2017: 3624-3632 - [c92]Elad Richardson, Matan Sela, Roy Or-El, Ron Kimmel:
Learning Detailed Face Reconstruction from a Single Image. CVPR 2017: 5553-5562 - [c91]Matan Sela, Elad Richardson, Ron Kimmel:
Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation. ICCV 2017: 1585-1594 - [c90]Gautam Pai, Aaron Wetzler, Ron Kimmel:
Learning Invariant Representations Of Planar Curves. ICLR (Poster) 2017 - [c89]Yoni Choukroun, Gautam Pai, Ron Kimmel:
Schrödinger Operator for Sparse Approximation of 3D Meshes. SGP (Posters) 2017: 9-10 - [i31]Matan Sela, Elad Richardson, Ron Kimmel:
Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation. CoRR abs/1703.10131 (2017) - [i30]Ran Breuer, Ron Kimmel:
A Deep Learning Perspective on the Origin of Facial Expressions. CoRR abs/1705.01842 (2017) - [i29]Yoni Choukroun, Gautam Pai, Ron Kimmel:
Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator. CoRR abs/1707.02120 (2017) - [i28]Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. CoRR abs/1707.08991 (2017) - [i27]Aaron Wetzler, Ron Kimmel:
Winqi: A System for 6D Localization and SLAM Augmentation Using Wideangle Optics and Coded Light Beacons. CoRR abs/1708.05625 (2017) - [i26]Gautam Pai, Ronen Talmon, Ron Kimmel:
Parametric Manifold Learning Via Sparse Multidimensional Scaling. CoRR abs/1711.06011 (2017) - 2016
- [j82]Yonathan Aflalo, Anastasia Dubrovina, Ron Kimmel:
Spectral Generalized Multi-dimensional Scaling. Int. J. Comput. Vis. 118(3): 380-392 (2016) - [c88]Alexander M. Bronstein, Yoni Choukroun, Ron Kimmel, Matan Sela:
Consistent Discretization and Minimization of the L1 Norm on Manifolds. 3DV 2016: 435-440 - [c87]Elad Richardson, Matan Sela, Ron Kimmel:
3D Face Reconstruction by Learning from Synthetic Data. 3DV 2016: 460-469 - [c86]Roy Or-El, Rom Hershkovitz, Aaron Wetzler, Guy Rosman, Alfred M. Bruckstein, Ron Kimmel:
Real-Time Depth Refinement for Specular Objects. CVPR 2016: 4378-4386 - [p4]Anastasia Dubrovina, Yonathan Aflalo, Ron Kimmel:
Non-rigid Shape Correspondence Using Surface Descriptors and Metric Structures in the Spectral Domain. Perspectives in Shape Analysis 2016: 275-297 - [i25]Elad Richardson, Matan Sela, Ron Kimmel:
3D Face Reconstruction by Learning from Synthetic Data. CoRR abs/1609.04387 (2016) - [i24]Alexander M. Bronstein, Yoni Choukroun, Ron Kimmel, Matan Sela:
Consistent Discretization and Minimization of the L1 Norm on Manifolds. CoRR abs/1609.05434 (2016) - [i23]Matan Sela, Ron Kimmel:
Randomized Independent Component Analysis. CoRR abs/1609.06942 (2016) - [i22]Matan Sela, Nadav Toledo, Yaron Honen, Ron Kimmel:
Customized Facial Constant Positive Air Pressure (CPAP) Masks. CoRR abs/1609.07049 (2016) - [i21]Alon Shtern, Matan Sela, Ron Kimmel:
Fast Blended Transformations for Partial Shape Registration. CoRR abs/1609.07738 (2016) - [i20]Yoni Choukroun, Alon Shtern, Ron Kimmel:
Elliptic operator for shape analysis. CoRR abs/1611.01990 (2016) - [i19]Elad Richardson, Matan Sela, Roy Or-El, Ron Kimmel:
Learning Detailed Face Reconstruction from a Single Image. CoRR abs/1611.05053 (2016) - [i18]Gil Shamai, Michael Zibulevsky, Ron Kimmel:
Fast Classical Scaling. CoRR abs/1611.07356 (2016) - [i17]Gil Shamai, Ron Kimmel:
Geodesic Distance Descriptors. CoRR abs/1611.07360 (2016) - [i16]Gautam Pai, Aaron Wetzler, Ron Kimmel:
Learning Invariant Representations Of Planar Curves. CoRR abs/1611.07807 (2016) - [i15]Ron Slossberg, Aaron Wetzler, Ron Kimmel:
Deep Stereo Matching with Dense CRF Priors. CoRR abs/1612.01725 (2016) - 2015
- [j81]Alon Shtern, Ron Kimmel:
Spectral gradient fields embedding for nonrigid shape matching. Comput. Vis. Image Underst. 140: 21-29 (2015) - [j80]Matan Sela, Yonathan Aflalo, Ron Kimmel:
Computational caricaturization of surfaces. Comput. Vis. Image Underst. 141: 1-17 (2015) - [j79]Dan Raviv, Ron Kimmel:
Affine Invariant Geometry for Non-rigid Shapes. Int. J. Comput. Vis. 111(1): 1-11 (2015) - [j78]Anastasia Dubrovina-Karni, Guy Rosman, Ron Kimmel:
Multi-Region Active Contours with a Single Level Set Function. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1585-1601 (2015) - [j77]Yonathan Aflalo, Haim Brezis, Ron Kimmel:
On the Optimality of Shape and Data Representation in the Spectral Domain. SIAM J. Imaging Sci. 8(2): 1141-1160 (2015) - [c85]Gil Shamai, Michael Zibulevsky, Ron Kimmel:
Accelerating the Computation of Canonical Forms for 3D Nonrigid Objects using Multidimensional Scaling. 3DOR@Eurographics 2015: 71-78 - [c84]Ron Kimmel:
A Spectral Perspective on Shapes. BMVC 2015: 2.1 - [c83]Aaron Wetzler, Ron Slossberg, Ron Kimmel:
Rule of thumb: Deep derotation for improved fingertip detection. BMVC 2015: 33.1-33.12 - [c82]Ron Slossberg, Aaron Wetzler, Ron Kimmel:
Freehand Laser Scanning Using Mobile Phone. BMVC 2015: 88.1-88.10 - [c81]Roy Or-El, Guy Rosman, Aaron Wetzler, Ron Kimmel, Alfred M. Bruckstein:
RGBD-fusion: Real-time high precision depth recovery. CVPR 2015: 5407-5416 - [c80]Gil Shamai, Yonathan Aflalo, Michael Zibulevsky, Ron Kimmel:
Classical Scaling Revisited. ICCV 2015: 2255-2263 - [i14]Aaron Wetzler, Ron Slossberg, Ron Kimmel:
Rule Of Thumb: Deep derotation for improved fingertip detection. CoRR abs/1507.05726 (2015) - [i13]Roy Or-El, Rom Hershkovitz, Aaron Wetzler, Guy Rosman, Alfred M. Bruckstein, Ron Kimmel:
Real-Time Depth Refinement for Specular Objects. CoRR abs/1511.08886 (2015) - 2014
- [j76]Alon Shtern, Ron Kimmel:
Matching the LBO Eigenspace of Non-Rigid Shapes via High Order Statistics. Axioms 3(3): 300-319 (2014) - [j75]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Dan Waisman, Nir A. Sochen, Ron Kimmel:
Equi-affine Invariant Geometry for Shape Analysis. J. Math. Imaging Vis. 50(1-2): 144-163 (2014) - [j74]Roberto Mecca, Aaron Wetzler, Alfred M. Bruckstein, Ron Kimmel:
Near Field Photometric Stereo with Point Light Sources. SIAM J. Imaging Sci. 7(4): 2732-2770 (2014) - [c79]Aaron Wetzler, Ron Kimmel, Alfred M. Bruckstein, Roberto Mecca:
Close-Range Photometric Stereo with Point Light Sources. 3DV 2014: 115-122 - [c78]Alon Shtern, Ron Kimmel:
Iterative Closest Spectral Kernel Maps. 3DV 2014: 499-505 - [c77]Anastasia Dubrovina, Rom Hershkovitz, Ron Kimmel:
Image editing using level set trees. ICIP 2014: 4442-4446 - [r1]Ron Kimmel:
Geodesics, Distance Maps, and Curve Evolution. Computer Vision, A Reference Guide 2014: 327-329 - [i12]Yonathan Aflalo, Alexander M. Bronstein, Ron Kimmel:
Graph matching: relax or not? CoRR abs/1401.7623 (2014) - [i11]Yonathan Aflalo, Haim Brezis, Ron Kimmel:
On the optimality of shape and data representation in the spectral domain. CoRR abs/1409.4349 (2014) - 2013
- [j73]Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Klaus Glashoff, Ron Kimmel:
Coupled quasi-harmonic bases. Comput. Graph. Forum 32(2): 439-448 (2013) - [j72]Guy Rosman, Anastasia Dubrovina, Ron Kimmel:
Patch-Collaborative Spectral Point-Cloud Denoising. Comput. Graph. Forum 32(8): 1-12 (2013) - [j71]Dan Raviv, Ron Kimmel, Alfred M. Bruckstein:
Graph Isomorphisms and Automorphisms via Spectral Signatures. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1985-1993 (2013) - [j70]Yonathan Aflalo, Ron Kimmel, Michael Zibulevsky:
Conformal Mapping with as Uniform as Possible Conformal Factor. SIAM J. Imaging Sci. 6(1): 78-101 (2013) - [j69]Yonathan Aflalo, Ron Kimmel, Dan Raviv:
Scale Invariant Geometry for Nonrigid Shapes. SIAM J. Imaging Sci. 6(3): 1579-1597 (2013) - [c76]Roberto Mecca, Aaron Wetzler, Ron Kimmel, Alfred M. Bruckstein:
Direct Shape Recovery from Photometric Stereo with Shadows. 3DV 2013: 382-389 - [c75]