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The most recent trend in estimating the 6D pose of rigid objects has been to train deep networks to either directly regress the pose from the image or to predict the 2D locations of 3D keypoints, from which the pose can be obtained using a PnP algorithm.
Fitting Parameterized Three-Dimensional Models to Images
David G. Lowe · 1991
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Comparing Images Using the Hausdorff Distance
Daniel P. Huttenlocher, Gregory A. Klanderman, and William Rucklidge · 1993
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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
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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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Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration
Marius Muja and David G. Lowe · 2009
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The Pascal Visual Object Classes (VOC) Challenge
Mark Everingham, Luc Van Gool, Christopher K. I. Williams, John M. Winn, and Andrew Zisserman · 2010
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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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Deformable Registration Using Edge‐preserving Scale Space for Adaptive Image‐guided Radiation Therapy
Dengwang Li, Haiguang 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
Earlier work this paper cites.
A Robust O(n) Solution to the Perspective-N-Point Problem
Shiqi Li, Chi Xu, and Ming Xie · 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
Cited alongside, same era.
Learning 6D Object Pose Estimation Using 3D Object Coordinates
Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, and Carsten Rother · 2014
Cited alongside, same era.
Very Fast Solution to the PnP Problem with Algebraic Outlier Rejection
Luis Ferraz, Xavier Binefa, and Francesc Moreno-Noguer · 2014
Cited alongside, same era.
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.
Scalable Nearest Neighbor Algorithms for High Dimensional Data
Marius Muja and David G. Lowe · 2014
Cited alongside, same era.
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Focal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, and Piotr Dollár · 2017
Later among the works it cites.
Global Hypothesis Generation for 6D Object Pose Estimation
Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, and Carsten Rother · 2017
Later among the works it cites.
6-DoF Object Pose from Semantic Keypoints
Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, and Kostas Daniilidis · 2017
Later among the works it cites.
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
Later among the works it cites.
Random Erasing Data Augmentation
Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, and Yi Yang · 2017
Later among the works it cites.
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild
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Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2015
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.
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen and Rob Fergus · 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.
Viewpoints and Keypoints
Shubham Tulsiani and Jitendra Malik · 2015
Cited alongside, same era.
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 Carsten Rother · 2016
Cited alongside, same era.
Efficient Coarse-to-Fine Patch Match for Large Displacement Optical Flow
Yinlin Hu, Rui Song, and Yunsong Li · 2016
Cited alongside, same era.
Alexander Grabner, Peter M. Roth, and Vincent Lepetit · 2018
Closest in time.
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects
Omid Hosseini Jafari, Siva Karthik Mustikovela, Karl Pertsch, Eric Brachmann, and Carsten Rother · 2018
Closest in time.
DeepIM: Deep Iterative Matching for 6D Poseestimation
Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, and Dieter Fox · 2018
Closest in time.
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation
Markus Oberweger, Mahdi Rad, and Vincent Lepetit · 2018
Closest in time.
LF-Net: Learning Local Features from Images
Yuki Ono, Eduard Trulls, Pascal Fua, and Kwang Moo Yi · 2018
Closest in time.
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, and Kevin Murphy · 2018
Closest in time.
Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
Mahdi Rad, Markus Oberweger, and Vincent Lepetit · 2018
Closest in time.
YOLOv3: An Incremental Improvement
Joseph Redmon and Ali Farhadi · 2018
Closest in time.
Real-Time Seamless Single Shot 6D Object Pose Prediction
Bugra Tekin, Sudipta N. Sinha, and Pascal Fua · 2018
Closest in time.
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2018
Closest in time.