【资源】6D 姿态估计文献 / 代码 / 数据集 / 教程资源大列表

作者:nkalavak
来源:kalavak/awesome-object-pose

6D 姿态估计对许多重要的现实应用都很关键,例如机器人抓取与操控、自动导航、增强现实等。本文分享一个6D姿态估计相关论文和开源代码资源列表,非常实用~

awesome-object-pose

Papers

  • Summary of the 4th International Workshopon Recovering 6D Object Pose - Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jirı Matas. [Paper]
  • DeepIM: Deep Iterative Matching for 6D Pose Estimation - Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox. [Paper]
  • Category-level 6D Object Pose Recovery in Depth Images - Caner Sahin and Tae-Kyun Kim. [Paper]
  • Matching RGB Images to CAD Models for Object Pose Estimation - Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, and Jana Kosecka. [Paper]
  • Implicit 3D Orientation Learning for 6D Object Detection from RGB Images - Martin Sundermeyer, Zoltan-Csaba Marton, Maxmilian Durner, Manuel Brucker and Rudolph Triebel. [Paper]
  • DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion - Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese. [Paper]
  • Real-Time 6D Object Pose Estimation on CPU - Yoshinori Konishi, Kosuke Hattori, Manabu Hashimoto. [Paper]
  • Holistic and local patch framework for 6D object pose estimation in RGB-D images - Haoruo Zhang, Qixin Cao. [Paper]
  • Estimating 6D Pose From Localizing Designated Surface Keypoints - Zelin Zhao, Gao Peng, Haoyu Wang, Hao-Shu Fang, Chengkun Li, Cewu Lu. [Paper]
  • Real-Time Object Pose Estimation with Pose Interpreter Networks- Jimmy Wu, Bolei Zhou, Rebecca Russell, Vincent Kee, Syler Wagner, Mitchell Hebert, Antonio Torralba, David M.S. Johnson. [Paper]
  • Segmentation-driven 6D Object Pose Estimation - Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann. [Paper]
  • Robust 6D Object Pose Estimation with Stochastic Congruent Sets - Chaitanya Mitash, Abdeslam Boularias, Kostas E. Bekris. [Paper]
  • BOP: Benchmark for 6D Object Pose Estimation - Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother. [Paper]
  • Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects - Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield. [Paper]
  • PoseCNN: Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes - Yu Xiang, Tanner Schmidt, Venkatraman Narayanan and Dieter Fox. [Paper]
  • Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images - Juil Sock, S. Hamidreza Kasaei, Luís Seabra Lopes, Tae-Kyun Kim. [Paper]
  • Global Hypothesis Generation for 6D Object Pose Estimation - Frank Michel, Alexander Kirillov,Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother. [Paper]
  • BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth - Mahdi Rad, Vincent Lepetit. [Paper]
  • Real-Time Seamless Single Shot 6D Object Pose Prediction - Bugra Tekin, Sudipta N. Sinha, Pascal Fua. [Paper]
  • SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again - Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, Nassir Navab. [Paper]
  • Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation - Wadim Kehl, Fausto Milletari, Federico Tombari, Slobodan Ilic, Nassir Navab. [Paper]
  • Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image - Thanh-Toan Do, Ming Cai, Trung Pham, Ian Reid. [[Paper]] (https://arxiv.org/pdf/1802.10367.pdf)
  • Learning 6D Object Pose Estimation Using 3D Object Coordinates - Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother. [Paper]
  • The MOPED framework: Object recognition and pose estimation for manipulation - Alvaro Collet Romea, Manuel Martinez Torres and Siddhartha Srinivasa. [Paper]


Code


Datasets


Tutorials

  • Real-time pose estimation of a textured object[Link]
  • Pose estimation from points[Link]





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