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Establishing correspondences from image to 3D has been a key task of 6DoF object pose estimation for a long time.
A method of time-coded parallel planes of light for depth measurement
Michihiko MIMOU, Takeo Kanade, and Toshiyuki SAKAI · 1981
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Surface measurement by space-encoded projected beam systems
Jeffrey L Posdamer and MD Altschuler · 1982
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Error model of a coded-light range sensor
Marjan Trobina · 1995
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Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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Pattern codification strategies in structured light systems
Joaquim Salvi, Jordi Pages, and Joan Batlle · 2004
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k-means++: The advantages of careful seeding
David Arthur and Sergei Vassilvitskii · 2006
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Epnp: An accurate o (n) solution to the pnp problem
Vincent Lepetit, Francesc Moreno-Noguer, and Pascal Fua · 2009
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EPnP: An Accurate O(n) Solution to the PnP Problem
Vincent Lepetit, Francesc Moreno-Noguer, and Pascal Fua · 2009
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The moped framework: Object recognition and pose estimation for manipulation
Alvaro Collet, Manuel Martinez, and Siddhartha S Srinivasa · 2011
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Gradient response maps for real-time detection of textureless objects
Stefan Hinterstoisser, Cedric Cagniart, Slobodan Ilic, Peter Sturm, Nassir Navab, Pascal Fua, and Vincent Lepetit · 2011
Earlier work this paper cites.
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes
Stefan Hinterstoisser, Stefan Holzer, Cedric Cagniart, Slobodan Ilic, Kurt Konolige, Nassir Navab, and Vincent Lepetit · 2011
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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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Qi Chen and Hartmut Prautzsch · 2012
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Fast approximate energy minimization with label costs
Andrew Delong, Anton Osokin, Hossam N Isack, and Yuri Boykov · 2012
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Gradient response maps for real-time detection of textureless objects
Stefan Hinterstoisser, Cedric Cagniart, Slobodan Ilic, Peter Sturm, Nassir Navab, Pascal Fua, and Vincent Lepetit · 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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Learning 6d object pose estimation using 3d object coordinates
Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, and Carsten Rother · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Opendr: An approximate differentiable renderer
Matthew M Loper and Michael J Black · 2014
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A stereo vision approach for cooperative robotic movement therapy
Benjamin Busam, Marco Esposito, Simon Che’Rose, Nassir Navab, and Benjamin Frisch · 2015
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The ycb object and model set: Towards common benchmarks for manipulation research
Berk Calli, Arjun Singh, Aaron Walsman, Siddhartha Srinivasa, Pieter Abbeel, and Aaron M Dollar · 2015
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Posenet: A convolutional network for real-time 6-dof camera relocalization
Alex Kendall, Matthew Grimes, and Roberto Cipolla · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Learning descriptors for object recognition and 3d pose estimation
Paul Wohlhart and Vincent Lepetit · 2015
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Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image
Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, and others · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Pose estimation for augmented reality: a hands-on survey
Eric Marchand, Hideaki Uchiyama, and Fabien Spindler · 2016
Cited alongside, same era.
Robot guidance using machine vision techniques in industrial environments: A comparative review
Luis Pérez, Íñigo Rodr\’\iguez, Nuria Rodr\’\iguez, Rubén Usamentiaga, and Daniel Garc\’\ia · 2016
Cited alongside, same era.
Dsac-differentiable ransac for camera localization
Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, and Carsten Rother · 2017
Cited alongside, same era.
Camera pose filtering with local regression geodesics on the riemannian manifold of dual quaternions
Benjamin Busam, Tolga Birdal, and Nassir Navab · 2017
Cited alongside, same era.
Rethinking atrous convolution for semantic image segmentation
Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation
Zhigang Li, Gu Wang, and Xiangyang Ji · 2019
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Explaining the ambiguity of object detection and 6d pose from visual data
Fabian Manhardt, Diego Martin Arroyo, Christian Rupprecht, Benjamin Busam, Tolga Birdal, Nassir Navab, and Federico Tombari · 2019
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Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation
Kiru Park, Timothy Patten, and Markus Vincze · 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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Fcos: Fully convolutional one-stage object detection
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
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Normalized object coordinate space for category-level 6d object pose and size estimation
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Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
Cited alongside, same era.
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.
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.
Learning less is more-6d camera localization via 3d surface regression
Eric Brachmann and Carsten Rother · 2018
Cited alongside, same era.
Dealing with ambiguity in robotic grasping via multiple predictions
Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, and Kianoush Nazarpour · 2018
Cited alongside, same era.
A survey on 3D cameras: Metrological comparison of time-of-flight, structured-light and active stereoscopy technologies
Silvio Giancola, Matteo Valenti, and Remo Sala · 2018
Cited alongside, same era.
He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, and Leonidas J Guibas · 2019
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Deceptionnet: Network-driven domain randomization
Sergey Zakharov, Wadim Kehl, and Slobodan Ilic · 2019
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Dpod: 6d pose object detector and refiner
Sergey Zakharov, Ivan S. Shugurov, and Slobodan Ilic · 2019
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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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I like to move it: 6d pose estimation as an action decision process
Benjamin Busam, Hyun Jun Jung, and Nassir Navab · 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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Single-stage 6d object pose estimation
Yinlin Hu, Pascal Fua, Wei Wang, and Mathieu Salzmann · 2020
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Cosypose: Consistent multi-view multi-object 6d pose estimation
Yann Labbé, Justin Carpentier, Mathieu Aubry, and Josef Sivic · 2020
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Category-level articulated object pose estimation
Xiaolong Li, He Wang, Li Yi, Leonidas J Guibas, A Lynn Abbott, and Shuran Song · 2020
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Introducing pose consistency and warp-alignment for self-supervised 6d object pose estimation in color images
Juil Sock, Guillermo Garcia-Hernando, Anil Armagan, and Tae-Kyun Kim · 2020
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Hybridpose: 6d object pose estimation under hybrid representations
Chen Song, Jiaru Song, and Qixing Huang · 2020
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Self6d: Self-supervised monocular 6d object pose estimation
Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, and Federico Tombari · 2020
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Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam
Carlos Campos, Richard Elvira, Juan J Gómez Rodríguez, José MM Montiel, and Juan D Tardós · 2021
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So-pose: Exploiting self-occlusion for direct 6d pose estimation
Yan Di, Fabian Manhardt, Gu Wang, Xiangyang Ji, Nassir Navab, and Federico Tombari · 2021
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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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Repose: Fast 6d object pose refinement via deep texture rendering
Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, and Kris M Kitani · 2021
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Synpo-net—accurate and fast cnn-based 6dof object pose estimation using synthetic training
Yongzhi Su, Jason Rambach, Alain Pagani, and Didier Stricker · 2021
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Gdr-net: Geometry-guided direct regression network for monocular 6d object pose estimation
Gu Wang, Fabian Manhardt, Federico Tombari, and Xiangyang Ji · 2021
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Pr-gcn: A deep graph convolutional network with point refinement for 6d pose estimation
Guangyuan Zhou, Huiqun Wang, Jiaxin Chen, and Di Huang · 2021
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