Leveraging appearance priors in non-rigid registration, with application to manipulation of deformable objects
暂无分享,去创建一个
[1] Alexandru Patriciu,et al. Deformation Planning for Robotic Soft Tissue Manipulation , 2009, 2009 Second International Conferences on Advances in Computer-Human Interactions.
[2] Farida Cheriet,et al. Landmark-Based Non-rigid Registration Via Graph Cuts , 2007, ICIAR.
[3] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[4] Anand Rangarajan,et al. A new point matching algorithm for non-rigid registration , 2003, Comput. Vis. Image Underst..
[5] Vincent Lepetit,et al. Randomized trees for real-time keypoint recognition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[6] Kalpana C. Jondhale,et al. Shape matching and object recognition using shape contexts , 2010 .
[7] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[8] Mitul Saha,et al. Motion planning for robotic manipulation of deformable linear objects , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[9] Antonio Torralba,et al. SIFT Flow: Dense Correspondence across Scenes and Its Applications , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] G. Wahba. Spline models for observational data , 1990 .
[11] Jürgen Weese,et al. Landmark-based elastic registration using approximating thin-plate splines , 2001, IEEE Transactions on Medical Imaging.
[12] Pieter Abbeel,et al. Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding , 2010, 2010 IEEE International Conference on Robotics and Automation.
[13] Stefano Carpin,et al. Combining imitation and reinforcement learning to fold deformable planar objects , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[14] Wolfram Burgard,et al. Efficient motion planning for manipulation robots in environments with deformable objects , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[15] Dmitry Berenson,et al. Manipulation of deformable objects without modeling and simulating deformation , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[16] Stefan Schaal,et al. Robot Programming by Demonstration , 2009, Springer Handbook of Robotics.
[17] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[18] Jitendra Malik,et al. Deformable part models are convolutional neural networks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Henk Nijmeijer,et al. Robot Programming by Demonstration , 2010, SIMPAR.
[20] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[21] Pierre Payeur,et al. Dexterous Robotic Manipulation of Deformable Objects with Multi-Sensory Feedback - a Review , 2010 .
[22] Darwin G. Caldwell,et al. Reinforcement Learning in Robotics: Applications and Real-World Challenges , 2013, Robotics.
[23] Robert J. Webster,et al. Needle Steering in 3-D Via Rapid Replanning , 2014, IEEE Transactions on Robotics.
[24] Xiaogang Wang,et al. Joint Deep Learning for Pedestrian Detection , 2013, 2013 IEEE International Conference on Computer Vision.
[25] Pieter Abbeel,et al. Learning from Demonstrations Through the Use of Non-rigid Registration , 2013, ISRR.
[26] Vincent Lepetit,et al. DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] J. Schulman,et al. Generalization in Robotic Manipulation Through The Use of Non-Rigid Registration , 2013 .
[28] Pieter Abbeel,et al. Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations , 2010, 2010 IEEE International Conference on Robotics and Automation.
[29] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Alois Knoll,et al. Adaptive Control for Human-Robot Skilltransfer: Trajectory Planning Based on Fluid Dynamics , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[31] Luc Van Gool,et al. The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.
[32] Nancy M. Amato,et al. An obstacle-based rapidly-exploring random tree , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[33] Darwin G. Caldwell,et al. On improving the extrapolation capability of task-parameterized movement models , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[34] Francesca Odone,et al. Histogram intersection kernel for image classification , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).
[35] Richard K. Beatson,et al. Reconstruction and representation of 3D objects with radial basis functions , 2001, SIGGRAPH.
[36] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[37] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[38] Hinrich Schütze,et al. Introduction to information retrieval , 2008 .
[39] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[40] S. Prima,et al. A new efficient EM-ICP algorithm for non-linear registration of 3D point sets , 2012 .
[41] Ankush Gupta,et al. A case study of trajectory transfer through non-rigid registration for a simplified suturing scenario , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.