Advances in real-time object tracking

[1]  Vincent Lepetit,et al.  Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes , 2012, ACCV.

[2]  Vincent Lepetit,et al.  Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes , 2012, ACCV.

[3]  Henrik I. Christensen,et al.  Robust 3D visual tracking using particle filtering on the special Euclidean group: A combined approach of keypoint and edge features , 2011, 2011 IEEE International Conference on Robotics and Automation.

[4]  Markus Vincze,et al.  Knowing your limits - self-evaluation and prediction in object recognition , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  Markus Vincze,et al.  Self-monitoring to improve robustness of 3D object tracking for robotics , 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

[6]  Vincent Lepetit,et al.  Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes , 2011, 2011 International Conference on Computer Vision.

[7]  Sinisa Todorovic,et al.  From contours to 3D object detection and pose estimation , 2011, 2011 International Conference on Computer Vision.

[8]  Markus Vincze,et al.  Predicting the unobservable Visual 3D tracking with a probabilistic motion model , 2011, 2011 IEEE International Conference on Robotics and Automation.

[9]  Diego Borro,et al.  Towards real time 3D tracking and reconstruction on a GPU using Monte Carlo simulations , 2010, 2010 IEEE International Symposium on Mixed and Augmented Reality.

[10]  Cordelia Schmid,et al.  Multi-view object class detection with a 3D geometric model , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[11]  Nassir Navab,et al.  Model globally, match locally: Efficient and robust 3D object recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[12]  Vincent Lepetit,et al.  Fast Keypoint Recognition Using Random Ferns , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Juan Manuel Rendon-Mancha,et al.  Binocular visual tracking and grasping of a moving object with a 3D trajectory , 2009 .

[14]  Siddhartha S. Srinivasa,et al.  Object recognition and full pose registration from a single image for robotic manipulation , 2009, 2009 IEEE International Conference on Robotics and Automation.

[15]  Manolis I. A. Lourakis,et al.  SBA: A software package for generic sparse bundle adjustment , 2009, TOMS.

[16]  Beno Benhabib,et al.  Visual-model-based, real-time 3D pose tracking for autonomous navigation: methodology and experiments , 2008, Auton. Robots.

[17]  Satoshi Kagami,et al.  GPU-accelerated Real-Time 3D Tracking for Humanoid Autonomy , 2008 .

[18]  Takeo Kanade,et al.  GPU-accelerated real-time 3D tracking for humanoid locomotion and stair climbing , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[19]  Michael M. Kazhdan,et al.  Poisson surface reconstruction , 2006, SGP '06.

[20]  Avinash C. Kak,et al.  Accurate 3D Tracking of Rigid Objects with Occlusion Using Active Appearance Models , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

[21]  Vincent Lepetit,et al.  Combining edge and texture information for real-time accurate 3D camera tracking , 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

[22]  G. LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[23]  Vincent Lepetit,et al.  Stable real-time 3D tracking using online and offline information , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  F. Jurie,et al.  Robust real time tracking of 3D objects , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[25]  Patrick Bouthemy,et al.  A 2D-3D model-based approach to real-time visual tracking , 2001, Image Vis. Comput..

[26]  Wolfgang Ponweiser,et al.  Edge-Projected Integration of Image and Model Cues for Robust Model-Based Object Tracking , 2001, Int. J. Robotics Res..

[27]  Danica Kragic,et al.  Real-time tracking meets online grasp planning , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[28]  Simon J. Godsill,et al.  On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..

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[30]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[31]  Rustam Stolkin,et al.  Predicting workpiece motions under pushing manipulations using the principle of minimum energy , 2015 .

[32]  Michael Goesele,et al.  Back to the Future: Learning Shape Models from 3D CAD Data , 2010, BMVC.

[33]  Richtsfeld Andreas,et al.  Taking in Shape: Detection and Tracking of Basic 3D Shapes in a Robotics Context , 2010 .

[34]  M. Vincze,et al.  BLORT-The Blocks World Robotic Vision Toolbox , 2010 .

[35]  T. Mörwald.  Edge Tracking of Textured Objects with a Recursive Particle Filter , 2009 .

[36]  David G. Lowe,et al.  What and Where: 3D Object Recognition with Accurate Pose , 2006, Toward Category-Level Object Recognition.

[37]  David W. Murray,et al.  Full-3D Edge Tracking with a Particle Filter , 2006, BMVC.

[38]  Timothy J. Robinson,et al.  Sequential Monte Carlo Methods in Practice , 2003 .

[39]  Neil J. Gordon,et al.  Editors: Sequential Monte Carlo Methods in Practice , 2001 .