KillingFusion: Non-rigid 3D Reconstruction without Correspondences
暂无分享,去创建一个
Daniel Cremers | Slobodan Ilic | Maximilian Baust | Miroslava Slavcheva | D. Cremers | Slobodan Ilic | Maximilian Baust | Miroslava Slavcheva
[1] Dieter Fox,et al. DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Wojciech Matusik,et al. Articulated mesh animation from multi-view silhouettes , 2008, ACM Trans. Graph..
[3] Chunming Li,et al. Distance Regularized Level Set Evolution and Its Application to Image Segmentation , 2010, IEEE Transactions on Image Processing.
[4] Xianghua Xie,et al. Radial basis function based level set interpolation and evolution for deformable modelling , 2011, Image Vis. Comput..
[5] Daniel Cremers,et al. A primal-dual framework for real-time dense RGB-D scene flow , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[6] Takeo Kanade,et al. Panoptic Studio: A Massively Multiview System for Social Motion Capture , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[7] Ramesh Raskar,et al. Free‐form sketching with variational implicit surfaces , 2002, Comput. Graph. Forum.
[8] Max A. Viergever,et al. A survey of medical image registration , 1998, Medical Image Anal..
[9] Takeo Kanade,et al. Three-dimensional scene flow , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Nikos Paragios,et al. Non-rigid registration using distance functions , 2003, Comput. Vis. Image Underst..
[11] Daniel Cohen-Or,et al. Three-dimensional distance field metamorphosis , 1998, TOGS.
[12] Jovan Popović,et al. Dynamic shape capture using multi-view photometric stereo , 2009, SIGGRAPH 2009.
[13] Justin Solomon,et al. Near‐Isometric Level Set Tracking , 2016, Comput. Graph. Forum.
[14] Ronald N. Perry,et al. Designing with distance fields , 2005, International Conference on Shape Modeling and Applications 2005 (SMI' 05).
[15] Matthias Nießner,et al. VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction , 2016, ECCV.
[16] Slobodan Ilic,et al. A Bayesian Approach to Multi-view 4D Modeling , 2015, International Journal of Computer Vision.
[17] Andrew W. Fitzgibbon,et al. 3D scanning deformable objects with a single RGBD sensor , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] James F. O'Brien,et al. Shape transformation using variational implicit functions , 1999, SIGGRAPH Courses.
[19] Hans-Peter Seidel,et al. Performance capture from sparse multi-view video , 2008, ACM Trans. Graph..
[20] Andrew I. Comport,et al. On unifying key-frame and voxel-based dense visual SLAM at large scales , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[21] Guido Gerig,et al. Level-set evolution with region competition: automatic 3-D segmentation of brain tumors , 2002, Object recognition supported by user interaction for service robots.
[22] Vladlen Koltun,et al. Robust reconstruction of indoor scenes , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Marc Alexa,et al. As-rigid-as-possible surface modeling , 2007, Symposium on Geometry Processing.
[24] Pushmeet Kohli,et al. Fusion4D , 2016, ACM Trans. Graph..
[25] Konrad Schindler,et al. Piecewise Rigid Scene Flow , 2013, 2013 IEEE International Conference on Computer Vision.
[26] Olivier D. Faugeras,et al. How to deal with point correspondences and tangential velocities in the level set framework , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[27] Thomas Brox,et al. Dense Semi-rigid Scene Flow Estimation from RGBD Images , 2014, ECCV.
[28] Slobodan Ilic,et al. Iterative Deformable Surface Tracking in Multi-View Setups , 2010 .
[29] William E. Lorensen,et al. Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.
[30] Leonidas J. Guibas,et al. On Discrete Killing Vector Fields and Patterns on Surfaces , 2010, Comput. Graph. Forum.
[31] Jan-Michael Frahm,et al. Scanning and tracking dynamic objects with commodity depth cameras , 2013, 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).
[32] Leonidas J. Guibas,et al. Robust single-view geometry and motion reconstruction , 2009, ACM Trans. Graph..
[33] Daniel Cremers,et al. Efficient Dense Scene Flow from Sparse or Dense Stereo Data , 2008, ECCV.
[34] Alejandro F. Frangi,et al. Active shape model segmentation with optimal features , 2002, IEEE Transactions on Medical Imaging.
[35] Shang-Hong Lai,et al. 3D non-rigid registration for MPU implicit surfaces , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[36] Leonidas J. Guibas,et al. As‐Killing‐As‐Possible Vector Fields for Planar Deformation , 2011, Comput. Graph. Forum.
[37] Andrew W. Fitzgibbon,et al. Real-time non-rigid reconstruction using an RGB-D camera , 2014, ACM Trans. Graph..
[38] Ronald Fedkiw,et al. Level set methods and dynamic implicit surfaces , 2002, Applied mathematical sciences.
[39] Nassir Navab,et al. SDF-2-SDF: Highly Accurate 3D Object Reconstruction , 2016, ECCV.
[40] Horst Bischof,et al. A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[41] J. Sethian,et al. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .
[42] Marc Levoy,et al. A volumetric method for building complex models from range images , 1996, SIGGRAPH.
[43] Katsushi Ikeuchi,et al. Locally rigid globally non-rigid surface registration , 2011, 2011 International Conference on Computer Vision.
[44] S. Osher,et al. Algorithms Based on Hamilton-Jacobi Formulations , 1988 .
[45] Olaf Kähler,et al. Very High Frame Rate Volumetric Integration of Depth Images on Mobile Devices , 2015, IEEE Transactions on Visualization and Computer Graphics.
[46] Daniel Cremers,et al. Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences , 2013, 2013 IEEE International Conference on Computer Vision.
[47] M. Pauly,et al. Embedded deformation for shape manipulation , 2007, SIGGRAPH 2007.
[48] Matthias Nießner,et al. Real-time 3D reconstruction at scale using voxel hashing , 2013, ACM Trans. Graph..
[49] Andrew W. Fitzgibbon,et al. KinectFusion: Real-time dense surface mapping and tracking , 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.
[50] Alejandro F. Frangi,et al. Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling , 2002, IEEE Transactions on Medical Imaging.
[51] Stefan Leutenegger,et al. ElasticFusion: Dense SLAM Without A Pose Graph , 2015, Robotics: Science and Systems.
[52] Michael J. Black,et al. Secrets of optical flow estimation and their principles , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[53] Kun Zhou,et al. As-Rigid-AsPossible Distance Field Metamorphosis , 2013, Comput. Graph. Forum.
[54] Elsa D. Angelini,et al. State of the Art of Level Set Methods in Segmentation and Registration of Medical Imaging Modalities , 2005 .
[55] Wolfram Burgard,et al. An evaluation of the RGB-D SLAM system , 2012, 2012 IEEE International Conference on Robotics and Automation.
[56] Chunming Li,et al. Level set evolution without re-initialization: a new variational formulation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[57] Edmond Boyer,et al. An efficient volumetric framework for shape tracking , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Frederic Devernay,et al. A Variational Method for Scene Flow Estimation from Stereo Sequences , 2007, 2007 IEEE 11th International Conference on Computer Vision.