Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images
暂无分享,去创建一个
Tae-Kyun Kim | Luís Seabra Lopes | S. Hamidreza Kasaei | Juil Sock | Tae-Kyun Kim | L. Lopes | S. H. Kasaei | Juil Sock
[1] Siddhartha S. Srinivasa,et al. Efficient multi-view object recognition and full pose estimation , 2010, 2010 IEEE International Conference on Robotics and Automation.
[2] Tae-Kyun Kim,et al. 6D Object Detection and Next-Best-View Prediction in the Crowd , 2015, ArXiv.
[3] Markus Vincze,et al. A Global Hypotheses Verification Method for 3D Object Recognition , 2012, ECCV.
[4] Luc Van Gool,et al. A unified framework for content-aware view selection and planning through view importance , 2014, BMVC.
[5] Gi Hyun Lim,et al. 3D object perception and perceptual learning in the RACE project , 2016, Robotics Auton. Syst..
[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] Tae-Kyun Kim,et al. Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Andrew Y. Ng,et al. Multi-camera object detection for robotics , 2010, 2010 IEEE International Conference on Robotics and Automation.
[9] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[11] Gi Hyun Lim,et al. Interactive Open-Ended Learning for 3D Object Recognition: An Approach and Experiments , 2015, J. Intell. Robotic Syst..
[12] Bo Li,et al. Sketch-Based 3D Model Retrieval by Viewpoint Entropy-Based Adaptive View Clustering , 2013, 3DOR@Eurographics.
[13] Norbert Krüger,et al. Multi-view object recognition using view-point invariant shape relations and appearance information , 2013, 2013 IEEE International Conference on Robotics and Automation.
[14] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[15] Bernt Schiele,et al. 3D Object Detection with Multiple Kinects , 2012, ECCV Workshops.
[16] Eric Brachmann,et al. Learning 6D Object Pose Estimation Using 3D Object Coordinates , 2014, ECCV.
[17] Kristen Grauman,et al. Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion , 2016, ECCV.
[18] Yuval Tassa,et al. MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[19] Stephen L. Chiu,et al. Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..
[20] Tae-Kyun Kim,et al. Latent-Class Hough Forests for 3D Object Detection and Pose Estimation , 2014, ECCV.
[21] Justus H. Piater,et al. Integration of Probabilistic Pose Estimates from Multiple Views , 2016, ECCV.
[22] Kuan-Ting Yu,et al. Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[23] Christian Perwass,et al. Increasing pose estimation performance using multi-cue integration , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[24] Vincent Lepetit,et al. Dominant orientation templates for real-time detection of texture-less objects , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[25] Stefan Leutenegger,et al. Pairwise Decomposition of Image Sequences for Active Multi-view Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).