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Estimating the 6D pose for unseen objects is in great demand for many real-world applications.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Martin A Fischler and Robert C Bolles · 1981
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A density-based algorithm for discovering clusters in large spatial databases with noise
Martin Ester, Hans Peter Kriegel, Jrg Sander, and Xiaowei Xu · 1996
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Real time robust template matching
Frédéric Jurie, Michel Dhome, et al · 2002
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Efficient variants of the icp algorithm
S. Rusinkiewicz and M. Levoy · 2002
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Pca-sift: A more distinctive representation for local image descriptors
Yan Ke and Rahul Sukthankar · 2004
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Distinctive image features from scale-invariant keypoints
D. G. Lowe · 2004
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Surf: Speeded up robust features
Herbert Bay, Tinne Tuytelaars, and Luc Van Gool · 2006
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey E. Hinton · 2008
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Fast point feature histograms (fpfh) for 3d registration
Radu Bogdan Rusu, Nico Blodow, and Michael Beetz · 2009
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Model globally, match locally: Efficient and robust 3d object recognition
Bertram Drost, Markus Ulrich, Nassir Navab, and Slobodan Ilic · 2010
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Orb: An efficient alternative to sift or surf
Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary Bradski · 2011
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Ldahash: Improved matching with smaller descriptors
Christoph Strecha, Alex Bronstein, Michael Bronstein, and Pascal Fua · 2011
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Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes
Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Gary Bradski, Kurt Konolige, and Nassir Navab · 2012
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Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes
Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Gary Bradski, Kurt Konolige, and Nassir Navab · 2012
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srd-sift: Keypoint detection and matching in images with radial distortion
Miguel Lourenço, Joao P Barreto, and Francisco Vasconcelos · 2012
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Shot: Unique signatures of histograms for surface and texture description
Samuele Salti, Federico Tombari, and Luigi Di Stefano · 2014
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Reviewing otsu’s method for image thresholding
Sunil Bangare, Amruta Dubal, Pallavi Bangare, and Suhas Patil · 2015
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Partial bi-invariance of se (3) metrics
Gregory S Chirikjian · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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On evaluation of 6d object pose estimation
Tomáš Hodaň, Jiří Matas, and Štěpán Obdržálek · 2016
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A fast and robust local descriptor for 3d point cloud registration
Jiaqi Yang, Zhiguo Cao, and Qian Zhang · 2016
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Cut, paste and learn: Surprisingly easy synthesis for instance detection
D. Dwibedi, I. Misra, and M. Hebert · 2017
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Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again
Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, and Nassir Navab · 2017
Cited alongside, same era.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Cited alongside, same era.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
Normalized object coordinate space for category-level 6d object pose and size estimation
Wang · 2019
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Prnet: Self-supervised learning for partial-to-partial registration
Wang · 2019
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Pvnet: Pixel-wise voting network for 6dof pose estimation
Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou, and Hujun Bao · 2019
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Deep closest point: Learning representations for point cloud registration
Yue Wang and Justin M Solomon · 2019
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Multi-path learning for object pose estimation across domains
Sundermeyer · 2020
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Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes
Yang · 2020
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Cited alongside, same era.
Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth
Mahdi Rad and Vincent Lepetit · 2017
Cited alongside, same era.
Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2017
Cited alongside, same era.
3dmatch: Learning local geometric descriptors from rgb-d reconstructions
Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, and Thomas Funkhouser · 2017
Cited alongside, same era.
Ppfnet: Global context aware local features for robust 3d point matching
Haowen Deng, Tolga Birdal, and Slobodan Ilic · 2018
Cited alongside, same era.
Superpoint: Self-supervised interest point detection and 2 description
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2018
Cited alongside, same era.
BOP: Benchmark for 6D object pose estimation
Tomáš Hodaň, 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, Jiří Matas, and Carsten Rother · 2018
Cited alongside, same era.
Graspnet-1billion: A large-scale benchmark for general object grasping
Hao-Shu Fang, Chenxi Wang, Minghao Gou, and Cewu Lu · 2020
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Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation
Yisheng He, Wei Sun, Haibin Huang, Jianran Liu, Haoqiang Fan, and Jian Sun · 2020
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Epos: Estimating 6d pose of objects with symmetries
Tomas Hodan, Daniel Barath, and Jiri Matas · 2020
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Bop toolkit, 2020
Tomáš Hodaň, 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, Jiří Matas, and Carsten Rother · 2020
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Latentfusion: End-to-end differentiable reconstruction and rendering for unseen object pose estimation
Keunhong Park, Arsalan Mousavian, Yu Xiang, and Dieter Fox · 2020
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Superglue: Learning feature matching with graph neural networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2020
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Learning deep network for detecting 3d object keypoints and 6d poses
Wanqing Zhao, Shaobo Zhang, Ziyu Guan, Wei Zhao, Jinye Peng, and Jianping Fan · 2020
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Ffb6d: A full flow bidirectional fusion network for 6d pose estimation
Yisheng He, Haibin Huang, Haoqiang Fan, Qifeng Chen, and Jian Sun · 2021
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Deep hough voting for robust global registration
Junha Lee, Seungwook Kim, Minsu Cho, and Jaesik Park · 2021
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Sc-prosac: An improved progressive sample consensus algorithm based on spectral clustering
Shuhua Ma, Xianchun Ma, Hairong You, Tiang Tang, Jinhua Wang, and Min Wang · 2021
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A pose proposal and refinement network for better 6d object pose estimation
Ameni Trabelsi, Mohamed Chaabane, Nathaniel Blanchard, and Ross Beveridge · 2021
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Graspness discovery in clutters for fast and accurate grasp detection
Chenxi Wang, Hao-Shu Fang, Minghao Gou, Hongjie Fang, Jin Gao, and Cewu Lu · 2021
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Ocrtoc: A cloud-based competition and benchmark for robotic grasping and manipulation
Ziyuan Liu, Wei Liu, Yuzhe Qin, Fanbo Xiang, Minghao Gou, Songyan Xin, Maximo A. Roa, Berk Calli, Hao Su, Yu Sun, and Ping Tan · 2022
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