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This paper addresses the task of estimating the 6D pose of a known 3D object from a single RGB-D image.
A solution for the best rotation to relate two sets of vectors
W. Kabsch · 1976
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Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
M. Fischler and R. Bolles · 1981
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A method for registration of 3-d shapes
P. J. Besl and N. D. McKay · 1992
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Comparing images using the hausdorff distance
D. P. Huttenlocher, G. A. Klanderman, and W. Rucklidge · 1993
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What and Where: 3D Object Recognition with Accurate Pose
I. Gordon and D. G. Lowe · 2006
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Convergent tree-reweighted message passing for energy minimization
V. Kolmogorov · 2006
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The layout consistent random field for recognizing and segmenting partially occluded objects
J. Winn and J. Shotton · 2006
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3d layoutcrf for multi-view object class recognition and segmentation
D. Hoiem, C. Rother, and J. M. Winn · 2007
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Minimizing non-submodular functions with graph cuts-a review
V. Kolmogorov and C. Rother · 2007
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A study of parts-based object class detection using complete graphs
M. Bergtholdt, J. Kappes, S. Schmidt, and C. Schnörr · 2009
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Model globally, match locally: Efficient and robust 3d object recognition
B. Drost, M. Ulrich, N. Navab, and S. Ilic · 2010
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Moped: A scalable and low latency object recognition and pose estimation system
M. Martinez, A. Collet, and S. S. Srinivasa · 2010
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Depth-encoded hough voting for joint object detection and shape recovery
M. Sun, G. R. Bradski, B.-X. Xu, and S. Savarese · 2010
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J. Gall, A. Yao, N. Razavi, L. J. V. Gool, and V. S. Lempitsky · 2011
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Efficient inference in fully connected crfs with gaussian edge potentials
P. Krähenbühl and V. Koltun · 2011
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Gradient response maps for real-time detection of textureless objects
S. Hinterstoisser, C. Cagniart, S. Ilic, P. F. Sturm, N. Navab, P. Fua, and V. Lepetit · 2012
Partial optimality by pruning for map-inference with general graphical models
P. Swoboda, B. Savchynskyy, J. H. Kappes, and C. Schnörr · 2014
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Latent-class hough forests for 3d object detection and pose estimation
A. Tejani, D. Tang, R. Kouskouridas, and T.-K. Kim · 2014
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A comparative study of modern inference techniques for structured discrete energy minimization problems
J. H. Kappes, B. Andres, F. A. Hamprecht, C. Schnörr, S. Nowozin, D. Batra, S. Kim, B. X. Kausler, T. Kröger, J. Lellmann, N. Komodakis, B. Savchynskyy, and C. Rother · 2015
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Learning analysis-by-synthesis for 6d pose estimation in rgb-d images
A. Krull, E. Brachmann, F. Michel, M. Y. Yang, S. Gumhold, and C. Rother · 2015
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Maximum persistency via iterative relaxed inference with graphical models
A. Shekhovtsov, P. Swoboda, and B. Savchynskyy · 2015
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Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes
S. Hinterstoisser, V. Lepetit, S. Ilic, S. Holzer, G. R. Bradski, K. Konolige, and N. Navab · 2012
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Scene coordinate regression forests for camera relocalization in rgb-d images
J. Shotton, B. Glocker, C. Zach, S. Izadi, A. Criminisi, and A. Fitzgibbon · 2013
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Learning 6d object pose estimation using 3d object coordinates
E. Brachmann, A. Krull, F. Michel, J. Shotton, S. Gumhold, and C. Rother · 2014
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Maximum persistency in energy minimization
A. Shekhovtsov · 2014
Cited alongside, same era.
Partial Optimality by Pruning for MAP-Inference with General Graphical Models
P. Swoboda, A. Shekhovtsov, J. Kappes, C. Schnörr, and B. Savchynskyy · 2015
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A dynamic programming approach for fast and and robust object pose recognition from range images
C. Zach, A. Penate-Sanchez, and M.-T. Pham · 2015
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Going further with point pair features
S. Hinterstoisser, V. Lepetit, N. Rajkumar, and K. Konolige · 2016
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Seeing glassware: from edge detection to pose estimation and shape recovery
C. J. Phillips, M. Lecce, and K. Daniilidis · 2016
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Relaxation-based preprocessing techniques for markov random field inference
C. Wang and R. Zabih · 2016
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