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Detecting objects and their 6D poses from only RGB images is an important task for many robotic applications.
The de casteljau algorithm on SE(3)
C. Altafini · 2000
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Distinctive image features from scale-invariant keypoints
David G. Lowe · 2004
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Rotations, quaternions, and double groups
S. L. Altmann · 2005
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A Lie algebraic approach for consistent pose registration for general euclidean motion
Motilal Agrawal · 2006
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What and where: 3D object recognition with accurate pose
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MOPED: A scalable and low latency object recognition and pose estimation system
Manuel Martinez, Alvaro Collet, and Siddhartha S. Srinivasa · 2010
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Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes
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Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Discriminatively trained templates for 3D object detection: A real time scalable approach
Reyes Rios-Cabrera and Tinne Tuytelaars · 2013
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VSLAM pose initialization via Lie groups and Lie algebras optimization
Germán Ros, Julio Guerrero, Angel Domingo Sappa, Daniel Ponsa, and Antonio Manuel López Peña · 2013
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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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Caffe: Convolutional architecture for fast feature embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, and Trevor Darrell · 2014
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Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan and Andrew Zisserman · 2014
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Latent-class hough forests for 3D object detection and pose estimation
Alykhan Tejani, Danhang Tang, Rigas Kouskouridas, and Tae-Kyun Kim · 2014
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Ross B. Girshick · 2015
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Alex Kendall, Matthew Grimes, and Roberto Cipolla · 2015
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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
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, and Kevin Murphy · 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
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Geometric loss functions for camera pose regression with deep learning
Alex Kendall and Roberto Cipolla · 2017
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PoseAgent: Budget-constrained 6D object pose estimation via reinforcement learning
Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, and Carsten Rother · 2017
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RefineNet: Multi-path refinement networks for high-resolution semantic segmentation
G. Lin, A. Milan, C. Shen, and I. Reid · 2017
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Faster R-CNN: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross B. Girshick, and Jian Sun · 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 Carsten Rother · 2016
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SSD: single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, and Alexander C. Berg · 2016
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross B. Girshick · 2017
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Global hypothesis generation for 6D object pose estimation
Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, and Carsten Rother · 2017
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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
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YOLO9000: better, faster, stronger
Joseph Redmon and Ali Farhadi · 2017
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Real-time seamless single shot 6D object pose prediction
Bugra Tekin, Sudipta N. Sinha, and Pascal Fua · 2017
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PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2017
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AffordanceNet: An end-to-end deep learning approach for object affordance detection
Thanh-Toan Do, Anh Nguyen, Ian D. Reid, Darwin G. Caldwell, and Nikos G. Tsagarakis · 2018
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