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Most recent 6D pose estimation frameworks first rely on a deep network to establish correspondences between 3D object keypoints and 2D image locations and then use a variant of a RANSAC-based Perspective-n-Point (PnP) algorithm.
Fitting Parameterized Three-Dimensional Models to Images
David G. Lowe · 1991
Earlier work this paper cites.
Comparing Images Using the Hausdorff Distance
Daniel P. Huttenlocher, Gregory A. Klanderman, and William Rucklidge · 1993
Earlier work this paper cites.
Multiple View Geometry in Computer Vision
Richard Hartley and Andrew Zisserman · 2000
Earlier work this paper cites.
Complete Solution Classification for the Perspective-Three-Point Problem
Xiao-Shan Gao, Xiao-Rong Hou, Jianliang Tang, and Hang-Fei Cheng · 2003
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Distinctive Image Features from Scale-Invariant Keypoints
David G. Lowe · 2004
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Monocular Model-Based 3D Tracking of Rigid Objects: A Survey
Vincent Lepetit and Pascal Fua · 2005
Earlier work this paper cites.
3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, and Jean Ponce · 2006
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Pose Tracking from Natural Features on Mobile Phones
Daniel Wagner, Gerhard Reitmayr, Alessandro Mulloni, Tom Drummond, and Dieter Schmalstieg · 2008
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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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Object Detection using a Max-margin Hough Transform
Subhransu Maji and Jitendra Malik · 2009
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Fast Directional Chamfer Matching
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, and Rama Chellappa · 2010
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DAISY: An Efficient Dense Descriptor Applied to Wide Baseline Stereo
Engin Tola, Vincent Lepetit, and Pascal Fua · 2010
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SUN database: Large-scale scene recognition from abbey to zoo
Jianxiong Xiao, James Hays, Krista A. Ehinger, Aude Oliva, and Antonio Torralba · 2010
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Deformable Registration Using Edge-preserving Scale Space for Adaptive Image-guided Radiation Therapy
Dengwang Li, Hongjun Wang, Yong Yin, and Xiuying Wang · 2011
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Gradient Response Maps for Real-Time Detection of Textureless Objects
Stefan Hinterstoißer, Cedric Cagniart, Slobodan Ilic, Peter F. 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 R. Bradski, Kurt Konolige, and Nassir Navab · 2012
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Learning Image Descriptors with the Boosting-Trick
Tomasz Trzcinski, C. Mario Christoudias, Vincent Lepetit, and Pascal Fua · 2012
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Revisiting the PnP Problem: A Fast, General and Optimal Solution
Yinqiang Zheng, Yubin Kuang, Shigeki Sugimoto, Kalle Åström, and Masatoshi Okutomi · 2013
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Very Fast Solution to the PnP Problem with Algebraic Outlier Rejection
Luis Ferraz, Xavier Binefa, and Francesc Moreno-Noguer · 2014
Earlier work this paper cites.
Car Make and Model Recognition Using 3D Curve Alignment
Edward Hsiao, Sudipta N. Sinha, Krishnan Ramnath, Simon Baker, C. Lawrence Zitnick, and Richard Szeliski · 2014
Cited alongside, same era.
UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability
Laurent Kneip, Hongdong Li, and Yongduek Seo · 2014
Cited alongside, same era.
The YCB Object and Model Set: Towards Common Benchmarks for Manipulation Research
Berk Calli, Arjun Singh, Aaron Walsman, Siddhartha Srinivasa, Pieter Abbeel, and Aaron Dollar · 2015
Cited alongside, same era.
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy · 2015
Cited alongside, same era.
Learning Analysis-By-Synthesis for 6D Pose Estimation in RGB-D Images
Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, and Carsten Rother · 2015
Cited alongside, same era.
Random Erasing Data Augmentation
Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, and Yi Yang · 2017
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Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, and Mathieu Salzmann · 2018
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Ipose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects
Omid Hosseini Jafari, Siva Karthik Mustikovela, Karl Pertsch, Eric Brachmann, and Carsten Rother · 2018
Later among the works it cites.
DeepIM: Deep Iterative Matching for 6D Poseestimation
Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, and Dieter Fox · 2018
Later among the works it cites.
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation
Markus Oberweger, Mahdi Rad, and Vincent Lepetit · 2018
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LF-Net: Learning Local Features from Images
Yuki Ono, Eduard Trulls, Pascal Fua, and Kwang Moo Yi · 2018
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Shubham Tulsiani and Jitendra Malik · 2015
Cited alongside, same era.
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2016
Cited alongside, same era.
MLPnP-A Real-Time Maximum Likelihood Solution to the Perspective-N-Point Problem
Steffen Urban, Jens Leitloff, and Stefan Hinz · 2016
Cited alongside, same era.
Learning to Assign Orientations to Feature Points
Kwang Moo Yi, Yannick Verdie, Pascal Fua, and Vincent Lepetit · 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.
Yale-Cmu-Berkeley Dataset for Robotic Manipulation Research
Berk Calli, Arjun Singh, James Bruce, Aaron Walsman, Kurt Konolige, Siddhartha Srinivasa, Pieter Abbeel, and Aaron M Dollar · 2017
Cited alongside, same era.
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Debidatta Dwibedi, Ishan Misra, and Martial Hebert · 2017
Cited alongside, same era.
Later among the works it cites.
Real-Time Seamless Single Shot 6D Object Pose Prediction
Bugra Tekin, Sudipta N. Sinha, and Pascal Fua · 2018
Later among the works it cites.
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2018
Later among the works it cites.
Learning to Find Good Correspondences
Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, and Pascal Fua · 2018
Later among the works it cites.
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
Eric Brachmann and Carsten Rother · 2019
Closest in time.
Segmentation-Driven 6D Object Pose Estimation
Yinlin Hu, Joachim Hugonot, Pascal Fua, and Mathieu Salzmann · 2019
Closest in time.
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation
Zhigang Li, Gu Wang, and Xiangyang Ji · 2019
Closest in time.
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
Closest in time.
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
Kiru Park, Timothy Patten, and Markus Vincze · 2019
Closest in time.
PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation
Sida Peng, Yuan Liu, Qixing Huang, Hujun Bao, and Xiaowei Zhou · 2019
Closest in time.
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, and Silvio Savarese · 2019
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Backpropagation-Friendly Eigendecomposition
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, and Mathieu Salzmann · 2019
Closest in time.
DPOD: 6D Pose Object Detector and Refiner
Sergey Zakharov, Ivan Shugurov, and Slobodan Ilic · 2019
Closest in time.