22.4.1.9 Human Pose from Depth, 3-D Data, Stereo, Multi-View Data

Chapter Contents (Back)
Human Pose. Pose. Multi-View Pose. 3-D Data. Depth. RGB-D.
See also Human Posture, or Human Pose, Human Body Pose.
See also Human Action Recognition and Detection Using Human Pose.

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2009. Dataset, Humans.
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SMC-B(36), No. 1, February 2006, pp. 153-165.
IEEE DOI 0602
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Earlier: A2, A3, A1:
Topological segmentation of discrete human body shapes in various postures based on geodesic distance,
ICPR04(III: 131-135).
IEEE DOI 0409
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Earlier: A2, A3, A1:
A discrete Reeb graph approach for the segmentation of human body scans,
3DIM03(378-385).
IEEE DOI 0311
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And: A2, A1, A3:
A topological approach for segmenting human body shape,
CIAP03(82-88).
IEEE DOI 0310
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Werghi, N.[Naoufel], Xiao, Y.J.[Yi-Jun], Siebert, J.P.[J. Paul],
Labelling Of Three Dimensional Human Body Scans: A Topological Approach,
IJIG(7), No. 2, April 2007, pp. 255-272. 0704
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Earlier: A1, A2, Only:
Posture recognition and segmentation from 3D human body scans,
3DPVT02(636-639).
IEEE DOI 0206
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And: A1, A2, Only:
Recognition of human body posture from a cloud of 3d data points using wavelet transform coefficients,
AFGR02(70-75).
IEEE DOI 0206
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And: A1, A2, Only:
Wavelet moments for recognizing human body posture from 3d scans,
ICPR02(I: 319-322).
IEEE DOI 0211
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Werghi, N.[Naoufel],
Segmentation and Modeling of Full Human Body Shape From 3-D Scan Data: A Survey,
SMC-C(37), No. 6, November 2007, pp. 1122-1136.
IEEE DOI 0709
Survey, Human Shape. BibRef

Nagaoka, T., Watanabe, S.,
Voxel-Based Variable Posture Models of Human Anatomy,
PIEEE(97), No. 12, December 2009, pp. 2015-2025.
IEEE DOI 0912
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Nagaoka, T.[Tomoaki],
Voxel-Based Harmonic Map for Voxel-Based Model Deformation/Manipulation,
ISVC13(II:633-642).
Springer DOI 1311
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Bernier, O.J.[Olivier J.], Cheung-Mon-Chan, P.[Pascal], Bouguet, A.[Arnaud],
Fast nonparametric belief propagation for real-time stereo articulated body tracking,
CVIU(113), No. 1, January 2009, pp. 29-47.
Elsevier DOI 0812
Articulated tracking; Graphical model; Belief propagation; Body pose; Factor graph; Particle filter; Stereo; 3D contours; Real-time; Pose estimation BibRef

Bernier, O.J.[Olivier J.], Cheung-Mon-Chan, P.,
Real-Time 3D Articulated Pose Tracking using Particle Filtering and Belief Propagation on Factor Graphs,
BMVC06(I:7).
PDF File. 0609
BibRef

Noriega, P.[Philippe], Bernier, O.J.[Olivier J.],
Multicues 3D Monocular Upper Body Tracking Using Constrained Belief Propagation,
BMVC07(xx-yy).
PDF File. 0709
BibRef
And:
Multicues 2D Articulated Pose Tracking using Particle Filtering and Belief Propagation on Factor Graphs,
ICIP07(V: 57-60).
IEEE DOI 0709
BibRef

Bernier, O.J.[Olivier J.],
Real-Time 3D Articulated Pose Tracking using Particle Filters Interacting through Belief Propagation,
ICPR06(I: 90-93).
IEEE DOI 0609
BibRef

Para, E.[Eric], Bernier, O.J.[Olivier J.], Achard, C.[Catherine],
2D Articulated Body Tracking with Self-occultations Handling,
AMDO08(xx-yy).
Springer DOI 0807
BibRef

Bo, L.F.[Lie-Feng], Sminchisescu, C.[Cristian],
Twin Gaussian Processes for Structured Prediction,
IJCV(87), No. 1-2, March 2010, pp. xx-yy.
Springer DOI 1001
To reconstruct pose from monocular and multiple images. BibRef

Shotton, J.J.D.[Jamie J.D.], Sharp, T.[Toby], Kipman, A.[Alex], Fitzgibbon, A.W.[Andrew W.], Finocchio, M.[Mark], Blake, A.[Andrew], Cook, M.[Mat], Moore, R.[Richard],
Real-Time Human Pose Recognition in Parts from Single Depth Images,
CACM(56), No. 1, January 2013, pp. 116-124.
DOI Link 1301
BibRef
Earlier: A1, A4, A7, A2, A5, A8, A3, A6: CVPR11(1297-1304).
IEEE DOI 1106
Award, CVPR. Predict human pose, the 3-D positions of body joints,from a single depth image, without depending on information from preceding frames. BibRef

Shotton, J.J.D.[Jamie J.D.], Girshick, R.[Ross], Fitzgibbon, A.W.[Andrew W.], Sharp, T.[Toby], Cook, M.[Mat], Finocchio, M.[Mark], Moore, R.[Richard], Kohli, P.[Pushmeet], Criminisi, A.[Antonio], Kipman, A.[Alex], Blake, A.[Andrew],
Efficient Human Pose Estimation from Single Depth Images,
PAMI(35), No. 12, 2013, pp. 2821-2840.
IEEE DOI 1311
Human Actions. Cameras BibRef

Girshick, R.[Ross], Shotton, J.D.J.[Jamie D.J.], Kohli, P.[Pushmeet], Criminisi, A.[Antonio], Fitzgibbon, A.W.[Andrew W.],
Efficient Regression of General-Activity Human Poses from Depth Images,
ICCV11(415-422).
IEEE DOI 1201
BibRef

Suau, X.[Xavier], Ruiz-Hidalgo, J.[Javier], Casas, J.R.[Josep R.],
Detecting end-effectors on 2.5D data using geometric deformable models: Application to human pose estimation,
CVIU(117), No. 3, March 2013, pp. 281-288.
Elsevier DOI 1302
Depth image; Range camera; End-effector; Human pose estimation; Extremities BibRef

Lopez-Mendez, A.[Adolfo], Alcoverro, M.[Marcel], Pardas, M.[Montse], Casas, J.R.[Josep R.],
Real-time upper body tracking with online initialization using a range sensor,
HCI11(391-398).
IEEE DOI 1201
BibRef

Shum, H.P.H., Ho, E.S.L., Jiang, Y., Takagi, S.,
Real-Time Posture Reconstruction for Microsoft Kinect,
Cyber(43), No. 5, 2013, pp. 1357-1369.
IEEE DOI 1309
Databases BibRef

Liu, W., Zhang, Y., Tang, S., Tang, J., Hong, R., Li, J.,
Accurate Estimation of Human Body Orientation From RGB-D Sensors,
Cyber(43), No. 5, 2013, pp. 1442-1452.
IEEE DOI 1309
Data mining BibRef

Luo, W.L.[Wei-Lan], Yamasaki, T.[Toshihiko], Aizawa, K.[Kiyoharu],
Cooperative estimation of human motion and surfaces using multiview videos,
CVIU(117), No. 11, 2013, pp. 1560-1574.
Elsevier DOI 1309
BibRef
Earlier:
Marker-less human pose estimation and surface reconstruction using a segmented model,
ICIP11(885-888).
IEEE DOI 1201
Articulated human motion BibRef

Yamada, M.[Makoto], Sigal, L.[Leonid], Chang, Y.[Yi],
Domain Adaptation for Structured Regression,
IJCV(109), No. 1-2, August 2014, pp. 126-145.
WWW Link. 1407
For 3D head and body pose problems. BibRef

Zolfaghari, M.[Mohammadreza], Jourabloo, A.[Amin], Gozlou, S.G.[Samira Ghareh], Pedrood, B.[Bahman], Manzuri-Shalmani, M.T.[Mohammad T.],
3D human pose estimation from image using couple sparse coding,
MVA(25), No. 6, 2014, pp. 1489-1499.
Springer DOI 1408
BibRef

Jiu, M.Y.[Ming-Yuan], Wolf, C.[Christian], Taylor, G.W.[Graham W.], Baskurt, A.[Atilla],
Human body part estimation from depth images via spatially-constrained deep learning,
PRL(50), No. 1, 2014, pp. 122-129.
Elsevier DOI 1410
Segmentation BibRef

Chan, K.C.[Kai-Chi], Koh, C.K.[Cheng-Kok], Lee, C.S.G.[C.S. George],
A 3-D-Point-Cloud System for Human-Pose Estimation,
SMCS(44), No. 11, November 2014, pp. 1486-1497.
IEEE DOI 1411
geometry BibRef

Chan, K.C.[Kai-Chi], Koh, C.K.[Cheng-Kok], Lee, C.S.G.[C.S. George],
An Automatic Design of Factors in a Human-Pose Estimation System Using Neural Networks,
SMCS(46), No. 7, July 2016, pp. 875-887.
IEEE DOI 1606
Artificial neural networks BibRef

Buys, K.[Koen], Cagniart, C.[Cedric], Baksheev, A.[Anatoly], de Laet, T.[Tinne], de Schutter, J.[Joris], Pantofaru, C.[Caroline],
An adaptable system for RGB-D based human body detection and pose estimation,
JVCIR(25), No. 1, 2014, pp. 39-52.
Elsevier DOI 1502
Real-time BibRef

Cuzzolin, F.[Fabio], Mateus, D.[Diana], Horaud, R.[Radu],
Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies,
IJCV(112), No. 1, March 2015, pp. 43-70.
WWW Link. 1503
BibRef

Marcos-Ramiro, A., Pizarro, D., Marron-Romera, M., Gatica-Perez, D.,
Let Your Body Speak: Communicative Cue Extraction on Natural Interaction Using RGBD Data,
MultMed(17), No. 10, October 2015, pp. 1721-1732.
IEEE DOI 1511
employment BibRef

Madadi, M.[Meysam], Escalera, S.[Sergio], Gonzàlez, J.[Jordi], Roca, F.X.[F. Xavier], Lumbreras, F.[Felipe],
Multi-part body segmentation based on depth maps for soft biometry analysis,
PRL(56), No. 1, 2015, pp. 14-21.
Elsevier DOI 1503
3D shape context BibRef

Barbulescu, A.[Adela], Gong, W.J.[Wen-Juan], Gonzalez, J.[Jordi], Moeslund, T.B.[Thomas B.], Roca, F.X.[F. Xavier],
3D human pose estimation using 2D body part detectors,
ICPR12(2484-2487).
WWW Link. 1302
BibRef

Seguin, G.[Guillaume], Alahari, K.[Karteek], Sivic, J.[Josef], Laptev, I.[Ivan],
Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies,
PAMI(37), No. 8, August 2015, pp. 1643-1655.
IEEE DOI 1507
BibRef
Earlier: A2, A1, A3, A4:
Pose Estimation and Segmentation of People in 3D Movies,
ICCV13(2112-2119)
IEEE DOI 1403
Pose estimation; Segmentation Estimation. BibRef

Kocamaz, M.K.[Mehmet Kemal], Rasmussen, C.[Christopher],
Approaches for automatic low-dimensional human shape refinement with priors or generic cues using RGB-D data,
IVC(40), No. 1, 2015, pp. 16-27.
Elsevier DOI 1506
Human shape refinement using RGB-D data BibRef

Ye, M.[Mao], Shen, Y., Du, C., Pan, Z., Yang, R.G.[Rui-Gang],
Real-Time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera,
PAMI(38), No. 8, August 2016, pp. 1517-1532.
IEEE DOI 1608
BibRef
Earlier: A1, A5, Only: CVPR14(2353-2360)
IEEE DOI 1409
Gaussian processes. Articulated Pose Estimation; Depth Cameras; Shape Estimation BibRef

Lin, S.[Shuai], Chen, Y.[Yin], Lai, Y.K.[Yu-Kun], Martin, R.R.[Ralph R.], Cheng, Z.Q.[Zhi-Quan],
Fast capture of textured full-body avatar with RGB-D cameras,
VC(32), No. 6-8, June 2016, pp. 681-691.
WWW Link. 1608
BibRef

Giachetti, A.[Andrea], Isaia, L.[Luca], Garro, V.[Valeria],
Multiscale descriptors and metric learning for human body shape retrieval,
VC(32), No. 6-8, June 2016, pp. 693-703.
WWW Link. 1608
BibRef

Ho, E.S.L.[Edmond S.L.], Chan, J.C.P.[Jacky C.P.], Chan, D.C.K.[Donald C.K.], Shum, H.P.H.[Hubert P.H.], Cheung, Y.M.[Yiu-Ming], Yuen, P.C.[Pong C.],
Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments,
CVIU(148), No. 1, 2016, pp. 97-110.
Elsevier DOI 1606
Smart environments BibRef

Palmero, C.[Cristina], Clapés, A.[Albert], Bahnsen, C.[Chris], Møgelmose, A.[Andreas], Moeslund, T.B.[Thomas B.], Escalera, S.[Sergio],
Multi-modal RGB-Depth-Thermal Human Body Segmentation,
IJCV(118), No. 2, June 2016, pp. 217-239.
Springer DOI 1606

See also Tri-modal Person Re-identification with RGB, Depth and Thermal Features. BibRef

Palmero, C.[Cristina], Esquirol, J.[Jordi], Bayo, V.[Vanessa], Cos, M.À.[Miquel Àngel], Ahmadmonfared, P.[Pouya], Salabert, J.[Joan], Sánchez, D.[David], Escalera, S.[Sergio],
Automatic Sleep System Recommendation by Multi-modal RBG-Depth-Pressure Anthropometric Analysis,
IJCV(122), No. 2, April 2017, pp. 212-227.
Springer DOI 1704
Based on body shape, etc. BibRef

López-Quintero, M.I.[Manuel I.], Marín-Jiménez, M.J.[Manuel J.], Muñoz-Salinas, R.[Rafael], Madrid-Cuevas, F.J.[Francisco J.], Medina-Carnicer, R.[Rafael],
Stereo Pictorial Structure for 2D articulated human pose estimation,
MVA(27), No. 2, February 2016, pp. 157-174.
Springer DOI 1602
BibRef

López-Quintero, M.I.[Manuel I.], Marín-Jiménez, M.J.[Manuel J.], Muñoz-Salinas, R.[Rafael], Medina-Carnicer, R.[Rafael],
Mixing body-parts model for 2D human pose estimation in stereo videos,
IET-CV(11), No. 6, September 2017, pp. 426-433.
DOI Link 1709
BibRef

Marín-Jiménez, M.J.[Manuel J.], Romero-Ramirez, F.J.[Francisco J.], Muñoz-Salinas, R.[Rafael], Medina-Carnicer, R.[Rafael],
3D human pose estimation from depth maps using a deep combination of poses,
JVCIR(55), 2018, pp. 627-639.
Elsevier DOI 1809
3D human pose, Body limbs, Depth maps, ConvNets BibRef

Li, S.J.[Si-Jin], Zhang, W.C.[Wei-Chen], Chan, A.B.[Antoni B.],
Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation,
IJCV(122), No. 1, March 2017, pp. 149-168.
Springer DOI 1702
BibRef
Earlier: ICCV15(2848-2856)
IEEE DOI 1602
Cost function BibRef

Kang, D.[Di], Dhar, D.[Debarun], Chan, A.B.[Antoni B.],
Incorporating Side Information by Adaptive Convolution,
IJCV(128), No. 12, December 2020, pp. 2897-2918.
Springer DOI 2010
BibRef

Kong, L.[Longbo], Yuan, X.H.[Xiao-Hui], Maharjan, A.M.[Amar Man],
A hybrid framework for automatic joint detection of human poses in depth frames,
PR(77), 2018, pp. 216-225.
Elsevier DOI 1802
Human pose detection, Joint detection, Human body model, Geodesic features BibRef

He, Q.Z.[Qin-Zhu], Ji, Y.J.[Yi-Jun], Zeng, D.[Dan], Zhang, Z.J.[Zhi-Jiang],
Volumeter: 3D human body parameters measurement with a single Kinect,
IET-CV(12), No. 4, June 2018, pp. 553-561.
DOI Link 1805
BibRef

Wu, Q.Q.[Qing-Qiang], Xu, G.H.[Guang-Hua], Li, M.[Min], Chen, L.T.[Long-Ting], Zhang, X.[Xin], Xie, J.[Jun],
Human pose estimation method based on single depth image,
IET-CV(12), No. 6, September 2018, pp. 919-924.
DOI Link 1808
BibRef

Katircioglu, I.[Isinsu], Tekin, B.[Bugra], Salzmann, M.[Mathieu], Lepetit, V.[Vincent], Fua, P.[Pascal],
Learning Latent Representations of 3D Human Pose with Deep Neural Networks,
IJCV(126), No. 12, December 2018, pp. 1326-1341.
Springer DOI 1811
BibRef
Earlier: A2, A1, A3, A4, A5:
Structured Prediction of 3D Human Pose with Deep Neural Networks,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Günel, S., Rhodin, H.[Helge], Fua, P.[Pascal],
What Face and Body Shapes Can Tell Us About Height,
WIDER19(1819-1827)
IEEE DOI 2004
cameras, data mining, face recognition, feature extraction, image reconstruction, learning (artificial intelligence), monocular BibRef

Rhodin, H.[Helge], Salzmann, M.[Mathieu], Fua, P.[Pascal],
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation,
ECCV18(X: 765-782).
Springer DOI 1810
BibRef

Zhao, T., Li, S., Ngan, K.N., Wu, F.,
3-D Reconstruction of Human Body Shape From a Single Commodity Depth Camera,
MultMed(21), No. 1, January 2019, pp. 114-123.
IEEE DOI 1901
Shape, Image reconstruction, Cameras, Biological system modeling, Principal component analysis, human pose estimation BibRef

Li, Y.M.[Yi-Meng], Xiao, J.[Jun], Xie, D.[Di], Shao, J.[Jian], Wang, J.L.[Jin-Long],
Adversarial learning for viewpoints invariant 3D human pose estimation,
JVCIR(58), 2019, pp. 374-379.
Elsevier DOI 1901
3D pose estimation, Adversarial learning BibRef

Zhang, W.H.[Wen-Hui], Kong, D.[Dehui], Wang, S.F.[Shao-Fan], Wang, Z.Y.[Zhi-Yong],
3D human pose estimation from range images with depth difference and geodesic distance,
JVCIR(59), 2019, pp. 272-282.
Elsevier DOI 1903
Human pose estimation, Superpixel, Geodesic distance, Random decision forest, Sparse representation BibRef

Lu, X.Q.[Xue-Quan], Deng, Z.G.[Zhi-Gang], Luo, J.[Jun], Chen, W.Z.[Wen-Zhi], Yeung, S.K.[Sai-Kit], He, Y.[Ying],
3D articulated skeleton extraction using a single consumer-grade depth camera,
CVIU(188), 2019, pp. 102792.
Elsevier DOI 1910
Unsupervised skeleton extraction, Single view, 3D point set sequences, Depth camera, GMM, Non-rigid registration BibRef

Saint, A.[Alexandre], Shabayek, A.E.[Abd El_Rahman], Cherenkova, K.[Kseniya], Gusev, G.[Gleb], Aouada, D.[Djamila], Ottersten, B.[Björn],
BODYFITR: Robust Automatic 3D Human Body Fitting,
ICIP19(484-488)
IEEE DOI 1910
Fit a human body model to static 3D scans with complex poses. 3DBodyTex, 3D body model fitting, automatic fitting, 3D body scanning, body landmark estimation BibRef

Xu, W.X.[Wan-Xin], Su, P.C.[Po-Chang], Cheung, S.C.S.[Sen-Ching Samson],
Human body reshaping and its application using multiple RGB-D sensors,
SP:IC(79), 2019, pp. 71-81.
Elsevier DOI 1911
Human body reshaping, Non-rigid registration, RGB-D cameras BibRef

Mei, J.[Jieru], Chen, X.Y.[Xing-Yu], Wang, C.Y.[Chun-Yu], Yuille, A.L.[Alan L.], Lan, X.G.[Xu-Guang], Zeng, W.J.[Wen-Jun],
Learning to Refine 3D Human Pose Sequences,
3DV19(358-366)
IEEE DOI 1806
Dictionaries, Manifolds, Training, Surface reconstruction, Task analysis, refinement BibRef

Li, Y.[Yan], Chu, Z.J.[Zhi-Jie], Xin, Y.Z.[Yi-Zhong],
Posture Recognition Technology Based on Kinect,
IEICE(E103-D), No. 3, March 2020, pp. 621-630.
WWW Link. 2003
BibRef

Wu, J.Z.[Jian-Zhai], Hu, D.[Dewen], Xiang, F.T.[Feng-Tao], Yuan, X.S.[Xing-Sheng], Su, J.M.[Jiong-Ming],
3D human pose estimation by depth map,
VC(36), No. 7, July 2020, pp. 1401-1410.
WWW Link. 2005
BibRef

Kim, Y.[Yeonho], Kim, D.J.[Dai-Jin],
A CNN-based 3D human pose estimation based on projection of depth and ridge data,
PR(106), 2020, pp. 107462.
Elsevier DOI 2006
3D Human pose estimation, 3D Point projection, Ridge data BibRef

Madadi, M.[Meysam], Bertiche, H.[Hugo], Escalera, S.[Sergio],
SMPLR: Deep learning based SMPL reverse for 3D human pose and shape recovery,
PR(106), 2020, pp. 107472.
Elsevier DOI 2006
Deep learning, 3D Human pose, Body shape, SMPL, Denoising autoencoder, Volumetric stack hourglass BibRef

Madadi, M.[Meysam], Bertiche, H.[Hugo], Escalera, S.[Sergio],
Deep Unsupervised 3D Human Body Reconstruction from a Sparse set of Landmarks,
IJCV(129), No. 8, August 2021, pp. 2499-2512.
Springer DOI 2108
BibRef

Wang, J.B.[Jin-Bao], Tan, S.J.[Shu-Jie], Zhen, X.T.[Xian-Tong], Xu, S.[Shuo], Zheng, F.[Feng], He, Z.Y.[Zhen-Yu], Shao, L.[Ling],
Deep 3D human pose estimation: A review,
CVIU(210), 2021, pp. 103225.
Elsevier DOI 2109
Survey, Human Pose. 3D Human Pose Estimation, Deep Learning BibRef

Wang, X.J.[Xun-Jun], Hu, X.C.[Xiao-Chun], Li, Y.[Yun], Jiang, C.Q.[Cao-Qing],
Multi-modal Human pose estimation based on probability distribution perception on a depth convolution neural network,
PRL(153), 2022, pp. 36-43.
Elsevier DOI 2201
Probability distribution perception, Human posture estimation, Heatmap, Key-point points BibRef

Fan, T.[Taosha], Alwala, K.V.[Kalyan Vasudev], Xiang, D.L.[Dong-Lai], Xu, W.P.[Wei-Peng], Murphey, T.[Todd], Mukadam, M.[Mustafa],
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation,
ICCV21(11437-11446)
IEEE DOI 2203
Solid modeling, Shape, Optimization methods, Estimation, Real-time systems, Gestures and body pose, Optimization and learning methods BibRef

Ying, J.M.[Jia-Ming], Zhao, X.[Xu],
RGB-D Fusion for Point-Cloud-Based 3d Human Pose Estimation,
ICIP21(3108-3112)
IEEE DOI 2201
Image color analysis, Pose estimation, Predictive models, Feature extraction, 3D human pose estimation, RGB-D, point cloud, dense prediction BibRef

Cui, X.X.[Xiao-Xuan], Sun, L.J.[Li-Jun], Wei, Z.H.[Zhi-Hua],
A Feature Fusion Based Dense Estimation Model for 3D Human Pose,
ICIVC21(247-252)
IEEE DOI 2112
Human computer interaction, Solid modeling, Computational modeling, multiscale feature extraction BibRef

Xu, T.H.[Tian-Han], Takano, W.[Wataru],
Graph Stacked Hourglass Networks for 3D Human Pose Estimation,
CVPR21(16100-16109)
IEEE DOI 2111
Solid modeling, Pose estimation, Computer architecture, Network architecture, Feature extraction BibRef

Ma, X.X.[Xiao-Xuan], Su, J.J.[Jia-Jun], Wang, C.Y.[Chun-Yu], Ci, H.[Hai], Wang, Y.Z.[Yi-Zhou],
Context Modeling in 3D Human Pose Estimation: A Unified Perspective,
CVPR21(6234-6243)
IEEE DOI 2111
Training, Pose estimation, Benchmark testing, Graph neural networks, Pattern recognition BibRef

Yuan, Y.[Ye], Wei, S.E.[Shih-En], Simon, T.[Tomas], Kitani, K.[Kris], Saragih, J.[Jason],
SimPoE: Simulated Character Control for 3D Human Pose Estimation,
CVPR21(7155-7165)
IEEE DOI 2111
Solid modeling, Pose estimation, Dynamics, Kinematics, Reinforcement learning BibRef

Bashirov, R.[Renat], Ianina, A.[Anastasia], Iskakov, K.[Karim], Kononenko, Y.[Yevgeniy], Strizhkova, V.[Valeriya], Lempitsky, V.[Victor], Vakhitov, A.[Alexander],
Real-time RGBD-based Extended Body Pose Estimation,
WACV21(2806-2815)
IEEE DOI 2106
Deformable models, Solid modeling, Pose estimation, Graphics processing units, Cameras BibRef

Shere, M.[Matthew], Kim, H.S.[Han-Sung], Hilton, A.[Adrian],
Temporally Consistent 3D Human Pose Estimation Using Dual 360° Cameras,
WACV21(81-90)
IEEE DOI 2106
Smoothing methods, Pose estimation, Refining, Cameras, Sensor systems, Skeleton BibRef

Buizza, C.[Caterina], Demiris, Y.[Yiannis],
Rotational Adjoint Methods for Learning-Free 3D Human Pose Estimation from IMU Data,
ICPR21(7868-7875)
IEEE DOI 2105
Jacobian matrices, Wireless communication, Wireless sensor networks, Minimization BibRef

Fürst, M.[Michael], Gupta, S.T.P.[Shriya T. P.], Schuster, R.[René], Wasenmüller, O.[Oliver], Stricker, D.[Didier],
HPERL: 3D Human Pose Estimation from RGB and LiDAR,
ICPR21(7321-7327)
IEEE DOI 2105
Laser radar, Annotations, Pose estimation, Robot sensing systems, Animation, perception BibRef

d'Eusanio, A.[Andrea], Pini, S.[Stefano], Borghi, G.[Guido], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
RefiNet: 3D Human Pose Refinement with Depth Maps,
ICPR21(2320-2327)
IEEE DOI 2105
Solid modeling, Pose estimation, Manuals, Cameras, Skeleton BibRef

Chen, Z.[Zerui], Huang, Y.[Yan], Wang, L.[Liang],
On the Robustness of 3D Human Pose Estimation,
ICPR21(5326-5332)
IEEE DOI 2105
Image segmentation, Image recognition, Pose estimation, Network architecture, Pattern recognition BibRef

Sayo, A.[Akihiko], Thomas, D.[Diego], Kawasaki, H.[Hiroshi], Nakashima, Y.[Yuta], Ikeuchi, K.[Katsushi],
PoseRN: A 2D Pose Refinement Network for Bias-Free Multi-View 3D Human Pose Estimation,
ICIP21(3233-3237)
IEEE DOI 2201
Annotations, Pose estimation, Training data, Image reconstruction, Pose refinement, 3D human pose, multiview reconstruction BibRef

Deng, Y.C.[Yi-Cheng], Sun, C.[Cheng], Zhu, J.H.[Jia-Hui], Sun, Y.Q.[Yong-Qi],
SVMAC: Unsupervised 3D Human Pose Estimation from a Single Image with Single-view-multi-angle Consistency,
3DV21(474-483)
IEEE DOI 2201
Training, Solid modeling, Annotations, Pose estimation, Video sequences, Cameras BibRef

Sun, C.[Cheng], Thomas, D.[Diego], Kawasaki, H.[Hiroshi],
Unsupervised 3D Human Pose Estimation in Multi-view-multi-pose Video,
ICPR21(5959-5964)
IEEE DOI 2105
Geometry, Pose estimation, Generative adversarial networks, Usability BibRef

Manilii, A.[Alessandro], Lucarelli, L.[Leonardo], Rosati, R.[Riccardo], Romeo, L.[Luca], Mancini, A.[Adriano], Frontoni, E.[Emanuele],
3d Human Pose Estimation Based on Multi-input Multi-output Convolutional Neural Network and Event Cameras: A Proof of Concept on the Dhp19 Dataset,
3DHU20(14-25).
Springer DOI 2103
BibRef

Baptista, R.[Renato], Saint, A.[Alexandre], Al Ismaeil, K.[Kassem], Aouada, D.[Djamila],
Towards Generalization of 3d Human Pose Estimation in the Wild,
3DHU20(72-81).
Springer DOI 2103
BibRef

Zhou, S.H.[Shi-Hao], Jiang, M.X.[Meng-Xi], Wang, Q.C.[Qi-Cong], Lei, Y.Q.[Yun-Qi],
Towards Locality Similarity Preserving to 3d Human Pose Estimation,
MMHUA20(136-153).
Springer DOI 2103
BibRef

Zou, Z.M.[Zhi-Ming], Liu, T.Q.[Tian-Qi], Wu, D.P.[Da-Peng], Tang, W.[Wei],
Compositional Graph Convolutional Networks for 3D Human Pose Estimation,
FG21(1-8)
IEEE DOI 2303
Uncertainty, Convolution, Face recognition, Semantics, Pose estimation BibRef

Liu, K.[Kenkun], Zou, Z.M.[Zhi-Ming], Tang, W.[Wei],
Learning Global Pose Features in Graph Convolutional Networks for 3d Human Pose Estimation,
ACCV20(I:89-105).
Springer DOI 2103
BibRef

Zou, Z.M.[Zhi-Ming], Tang, W.[Wei],
Modulated Graph Convolutional Network for 3D Human Pose Estimation,
ICCV21(11457-11467)
IEEE DOI 2203
Convolutional codes, Solid modeling, Estimation error, Convolution, Pose estimation, Gestures and body pose, BibRef

Liu, K.K.[Ken-Kun], Ding, R.Q.[Rong-Qi], Zou, Z.M.[Zhi-Ming], Wang, L.[Le], Tang, W.[Wei],
A Comprehensive Study of Weight Sharing in Graph Networks for 3d Human Pose Estimation,
ECCV20(X:318-334).
Springer DOI 2011
BibRef

Guo, Y., Chen, Z.,
Absolute 3D Human Pose Estimation via Weakly-supervised Learning,
VCIP20(273-276)
IEEE DOI 2102
Cameras, Training, Protocols, Heating systems, Annotations, Multi-view Geometry BibRef

Wang, L.Z.[Li-Zhen], Zhao, X.C.[Xiao-Chen], Yu, T.[Tao], Wang, S.T.[Song-Tao], Liu, Y.B.[Ye-Bin],
Normalgan: Learning Detailed 3d Human from a Single RGB-D Image,
ECCV20(XX:430-446).
Springer DOI 2011
BibRef

Sárándi, I., Linder, T., Arras, K.O., Leibe, B.,
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation,
FG20(407-414)
IEEE DOI 2102
Heating systems, Space heating, Pose estimation, truncation BibRef

Shi, B., Xu, Y., Dai, W., Wang, B., Zhang, S., Li, C., Zou, J., Xiong, H.,
Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation,
ICIP20(1491-1495)
IEEE DOI 2011
Feature extraction, Pose estimation, Finite element analysis, Convolution, equal-level accuracy BibRef

Zhi, T.C.[Tian-Cheng], Lassner, C.[Christoph], Tung, T.[Tony], Stoll, C.[Carsten], Narasimhan, S.G.[Srinivasa G.], Vo, M.[Minh],
Texmesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video,
ECCV20(X:492-509).
Springer DOI 2011
BibRef

Tu, H.Y.[Han-Yue], Wang, C.Y.[Chun-Yu], Zeng, W.J.[Wen-Jun],
Voxelpose: Towards Multi-camera 3d Human Pose Estimation in Wild Environment,
ECCV20(I:197-212).
Springer DOI 2011
BibRef

Mitra, R., Gundavarapu, N.B., Sharma, A., Jain, A.,
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation,
CVPR20(6906-6915)
IEEE DOI 2008
Training, Pose estimation, Videos, Feature extraction BibRef

Zhu, T.[Tyler], Karlsson, P.[Per], Bregler, C.[Christoph],
Simpose: Effectively Learning Densepose and Surface Normals of People from Simulated Data,
ECCV20(XXIX: 225-242).
Springer DOI 2010
BibRef

Su, Z.[Zhuo], Xu, L.[Lan], Zheng, Z.R.[Ze-Rong], Yu, T.[Tao], Liu, Y.B.[Ye-Bin], Fang, L.[Lu],
Robustfusion: Human Volumetric Capture with Data-driven Visual Cues Using a RGBD Camera,
ECCV20(IV:246-264).
Springer DOI 2011
BibRef

Liu, R., Shen, J., Wang, H., Chen, C., Cheung, S., Asari, V.,
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction,
CVPR20(5063-5072)
IEEE DOI 2008
Kernel, Pose estimation, Indexes BibRef

Iqbal, U., Molchanov, P., Kautz, J.,
Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild,
CVPR20(5242-5251)
IEEE DOI 2008
Training, Pose estimation, Cameras, Training data, Solid modeling BibRef

Kocabas, M., Athanasiou, N., Black, M.J.,
VIBE: Video Inference for Human Body Pose and Shape Estimation,
CVPR20(5252-5262)
IEEE DOI 2008
Shape, Training, Pose estimation, Predictive models BibRef

El Ahmar, W.A., Erlik Nowruzi, F., Laganiere, R.,
Fast Human Head and Shoulder Detection Using Convolutional Networks and RGBD Data,
PBVS20(479-487)
IEEE DOI 2008
Head, Proposals, Magnetic heads, Machine learning, Training, Task analysis BibRef

Zhang, Z., Wang, C., Qin, W., Zeng, W.,
Fusing Wearable IMUs With Multi-View Images for Human Pose Estimation: A Geometric Approach,
CVPR20(2197-2206)
IEEE DOI 2008
Pose estimation, Solid modeling, Heating systems, Cameras, Training BibRef

He, Y., Yan, R., Fragkiadaki, K., Yu, S.,
Epipolar Transformer for Multi-view Human Pose Estimation,
VUHCS20(4466-4471)
IEEE DOI 2008
Detectors, Feature extraction, Pose estimation, Calibration, Cameras BibRef

Wang, K., Xie, J., Zhang, G., Liu, L., Yang, J.,
Sequential 3D Human Pose and Shape Estimation From Point Clouds,
CVPR20(7273-7282)
IEEE DOI 2008
Solid modeling, Shape, Biological system modeling, Estimation, Spatial resolution, Feature extraction BibRef

Xu, Y.L.[Yuan-Lu], Zhu, S.C.[Song-Chun], Tung, T.[Tony],
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare,
ICCV19(7759-7769)
IEEE DOI 2004
cameras, image colour analysis, image motion analysis, image reconstruction, image representation, image sequences, Training BibRef

Ci, H., Wang, C., Ma, X., Wang, Y.,
Optimizing Network Structure for 3D Human Pose Estimation,
ICCV19(2262-2271)
IEEE DOI 2004
convolutional neural nets, graph theory, image representation, optimisation, pose estimation, stereo image processing, human pose, Elbow BibRef

Kolotouros, N., Pavlakos, G., Black, M., Daniilidis, K.,
Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop,
ICCV19(2252-2261)
IEEE DOI 2004
Code, Human Pose.
WWW Link. image motion analysis, image reconstruction, iterative methods, learning (artificial intelligence), optimisation, Pose estimation BibRef

Liang, J., Lin, M.,
Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images,
ICCV19(4351-4361)
IEEE DOI 2004
image reconstruction, learning (artificial intelligence), neural nets, pose estimation, shape recognition, solid modelling, Data models BibRef

Qiu, H., Wang, C., Wang, J., Wang, N., Zeng, W.,
Cross View Fusion for 3D Human Pose Estimation,
ICCV19(4341-4350)
IEEE DOI 2004
object tracking, pose estimation, multiview 2D poses, cross-view fusion scheme, 2D pose estimation, cross view fusion, Asia BibRef

Slembrouck, M.[Maarten], Luong, H.[Hiep], Gerlo, J.[Joeri], Schütte, K.[Kurt], van Cauwelaert, D.[Dimitri], de Clercq, D.[Dirk], Vanwanseele, B.[Benedicte], Veelaert, P.[Peter], Philips, W.[Wilfried],
Multiview 3d Markerless Human Pose Estimation from Openpose Skeletons,
ACIVS20(166-178).
Springer DOI 2003
BibRef

Pandey, R.[Rohit], Tkach, A.[Anastasia], Yang, S.[Shuoran], Pidlypenskyi, P.[Pavel], Taylor, J.[Jonathan], Martin-Brualla, R.[Ricardo], Tagliasacchi, A.[Andrea], Papandreou, G.[George], Davidson, P.[Philip], Keskin, C.[Cem], Izadi, S.[Shahram], Fanello, S.[Sean],
Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning,
CVPR19(9701-9710).
IEEE DOI 2002
BibRef

Li, H.H.[Hai-Han], Yang, W.M.[Wen-Ming], Liao, Q.M.[Qing-Min],
Temporal Feature Enhancing Network for Human Pose Estimation in Videos,
ICIP19(579-583)
IEEE DOI 1910
video pose estimation, feature enhancement, temporal encoding, feature warping BibRef

Gai, Z., Zhao, X., Cao, X.,
3D Body Pose and Shape Estimation from Multi-View Images With Limb Geometric Constraint,
ICIP19(574-578)
IEEE DOI 1910
3D Pose and Shape Estimation, SMPL, Attention Mechanism, Adversarial Learning, CNN BibRef

d'Eusanio, A.[Andrea], Pini, S.[Stefano], Borghi, G.[Guido], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
Manual Annotations on Depth Maps for Human Pose Estimation,
CIAP19(I:233-244).
Springer DOI 1909
BibRef

Li, Z.G.[Zhong-Guo], Heyden, A.[Anders], Oskarsson, M.[Magnus],
Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views,
SCIA19(336-347).
Springer DOI 1906
BibRef

Seoud, L.[Lama], Boisvert, J.[Jonathan], Drouin, M.A.[Marc-Antoine], Picard, M.[Michel], Godin, G.[Guy],
Increasing the Robustness of CNN-Based Human Body Segmentation in Range Images by Modeling Sensor-Specific Artifacts,
3DSemantics18(III:729-743).
Springer DOI 1905
BibRef

Martínez-González, A.[Angel], Villamizar, M.[Michael], Canévet, O.[Olivier], Odobez, J.M.[Jean-Marc],
Investigating Depth Domain Adaptation for Efficient Human Pose Estimation,
HBU18(II:346-363).
Springer DOI 1905
BibRef

Liu, D., Zhao, Z., Wang, X., Hu, Y., Zhang, L., Huang, T.,
Improving 3D Human Pose Estimation Via 3D Part Affinity Fields,
WACV19(1004-1013)
IEEE DOI 1904
neural nets, pose estimation, regression analysis, monocular images, end-to-end approach, two-stage approach, Joining processes BibRef

Schwarcz, S., Pollard, T.,
3D Human Pose Estimation from Deep Multi-View 2D Pose,
ICPR18(2326-2331)
IEEE DOI 1812
Pose estimation, Cameras, Heating systems, Pipelines, Detectors BibRef

Guo, X., Dai, Y.,
Occluded Joints Recovery in 3D Human Pose Estimation based on Distance Matrix,
ICPR18(1325-1330)
IEEE DOI 1812
Pose estimation, Encoding, Pipelines, Dictionaries, Testing BibRef

Chang, J.Y., Moon, G., Lee, K.M.,
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map,
CVPR18(5079-5088)
IEEE DOI 1812
Pose estimation, Solid modeling, Nonlinear distortion, Shape BibRef

Rhodin, H., Meyer, F., Spörri, J., Müller, E., Constantin, V., Fua, P., Katircioglu, I., Salzmann, M.,
Learning Monocular 3D Human Pose Estimation from Multi-view Images,
CVPR18(8437-8446)
IEEE DOI 1812
Training, Cameras, Pose estimation, Manuals, Tools, Standards BibRef

Handrich, S., Waxweiler, P., Werner, P., Al-Hamadi, A.,
3D Human Pose Estimation Using Stochastic Optimization in Real Time,
ICIP18(555-559)
IEEE DOI 1809
Genetic algorithms, Pose estimation, Iterative closest point algorithm, Vegetation, Bones, ICP BibRef

Vosoughi, S., Amer, M.A.,
Deep 3D Human Pose Estimation Under Partial Body Presence,
ICIP18(569-573)
IEEE DOI 1809
Pose estimation, Skeleton, Training, Machine learning, Regression BibRef

Chang, J.[Jing], Chablat, D.[Damien], Bennis, F.[Fouad], Ma, L.[Liang],
Using 3D Scan to Determine Human Body Segment Mass in OpenSim Model,
DHM18(29-40).
Springer DOI 1807
BibRef

Kinauer, S.[Stefan], Güler, R.A.[Riza Alp], Chandra, S.[Siddhartha], Kokkinos, I.[Iasonas],
Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation,
EMMCVPR17(34-48).
Springer DOI 1805
BibRef

Vasileiadis, M., Giakoumis, D., Malassiotis, S., Kostavelis, I., Tzovaras, D.,
Body-part tracking from partial-view depth data,
3DTV-CON17(1-4)
IEEE DOI 1804
cameras, image motion analysis, image sequences, object tracking, pose estimation, body-part tracking algorithm, shape adaptation BibRef

Vasileiadis, M., Malassiotis, S., Giakoumis, D., Bouganis, C.S., Tzovaras, D.,
Robust Human Pose Tracking For Realistic Service Robot Applications,
ACVR17(1363-1372)
IEEE DOI 1802
Cameras, Pose estimation, Robustness, Shape, Solid modeling, Tracking BibRef

Zhou, X., Huang, Q., Sun, X., Xue, X., Wei, Y.,
Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach,
ICCV17(398-407)
IEEE DOI 1802
image representation, learning (artificial intelligence), neural nets, pose estimation, regression analysis, BibRef

Hossain, M.R.I.[Mir Rayat Imtiaz], Little, J.J.[James J.],
Exploiting Temporal Information for 3D Human Pose Estimation,
ECCV18(X: 69-86).
Springer DOI 1810
BibRef

Martinez, J., Hossain, R., Romero, J., Little, J.J.,
A Simple Yet Effective Baseline for 3d Human Pose Estimation,
ICCV17(2659-2668)
IEEE DOI 1802
feedforward neural nets, image resolution, learning (artificial intelligence), pose estimation, BibRef

Chen, C.H., Ramanan, D.,
3D Human Pose Estimation = 2D Pose Estimation + Matching,
CVPR17(5759-5767)
IEEE DOI 1711
Cameras, Libraries, Pipelines, Pose estimation, Training, BibRef

Oyama, M., Aoyama, N.K., Hayashi, M., Sumi, K., Yoshida, T.,
Two-stage model fitting approach for human body shape estimation from a single depth image,
MVA17(234-237)
DOI Link 1708
Biological system modeling, Data models, Databases, Deformable models, Estimation, Shape, Three-dimensional, displays BibRef

Kadkhodamohammadi, A., Gangi, A., de Mathelin, M., Padoy, N.,
A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms,
WACV17(363-372)
IEEE DOI 1609
Detectors, Image color analysis, Pose estimation, Skeleton, Surgery, Visualization BibRef

Jhuang, D.H.[Dong-Han], Lin, D.T.[Daw-Tung], Tsai, C.H.[Chi-Hung],
Face verification with three-dimensional point cloud by using deep belief networks,
ICPR16(1430-1435)
IEEE DOI 1705
Estimation, Face, Face recognition, Feature extraction, Neurons, Training, 3D point cloud, deep belief networks, face verification, feature extraction, principal, curvature, estimation BibRef

Xu, W., Su, P.C., Cheung, S.C.S.,
Human pose estimation using two RGB-D sensors,
ICIP16(1279-1283)
IEEE DOI 1610
Calibration BibRef

Haque, A.[Albert], Peng, B.[Boya], Luo, Z.[Zelun], Alahi, A.[Alexandre], Yeung, S.[Serena], Fei-Fei, L.[Li],
Towards Viewpoint Invariant 3D Human Pose Estimation,
ECCV16(I: 160-177).
Springer DOI 1611
BibRef

Manzi, A.[Alessandro], Cavallo, F.[Filippo], Dario, P.[Paolo],
A 3D Human Posture Approach for Activity Recognition Based on Depth Camera,
ACVR16(II: 432-447).
Springer DOI 1611
BibRef

Grinciunaite, A.[Agne], Gudi, A.[Amogh], Tasli, E.[Emrah], den Uyl, M.[Marten],
Human Pose Estimation in Space and Time Using 3D CNN,
MotionRep16(III: 32-39).
Springer DOI 1611
BibRef

Hwang, J.[Jihye], Park, S.[Sungheon], Kwak, N.J.[No-Jun],
Athlete Pose Estimation by a Global-Local Network,
CVSports17(114-121)
IEEE DOI 1709
BibRef
Earlier: A2, A1, A3:
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information,
DeepLearn16(III: 156-169).
Springer DOI 1611
Feature extraction, Heating systems, Niobium, Pose estimation, Proposals, Visualization BibRef

Park, S.[Sungheon], Kwak, N.J.[No-Jun],
Analysis on the Dropout Effect in Convolutional Neural Networks,
ACCV16(II: 189-204).
Springer DOI 1704
BibRef

Youness, C., Abdelhak, M.,
Machine Learning for Real Time Poses Classification Using Kinect Skeleton Data,
CGiV16(307-311)
IEEE DOI 1608
Bayes methods BibRef

Haggag, H., Hossny, M., Nahavandi, S., Haggag, S., Creighton, D.,
Body Parts Segmentation with Attached Props Using RGB-D Imaging,
DICTA15(1-8)
IEEE DOI 1603
feature extraction BibRef

Wang, J., Ma, K., Singh, V.K., Huang, T., Chen, T.,
BodyPrint: Pose Invariant 3D Shape Matching of Human Bodies,
ICCV15(1591-1599)
IEEE DOI 1602
Databases BibRef

Bogo, F., Black, M.J., Loper, M., Romero, J.,
Detailed Full-Body Reconstructions of Moving People from Monocular RGB-D Sequences,
ICCV15(2300-2308)
IEEE DOI 1602
Avatars BibRef

Hesse, N., Stachowiak, G., Breuer, T., Arens, M.,
Estimating Body Pose of Infants in Depth Images Using Random Ferns,
ACVR15(427-435)
IEEE DOI 1602
Frequency modulation BibRef

Crabbe, B., Paiement, A., Hannuna, S., Mirmehdi, M.,
Skeleton-Free Body Pose Estimation from Depth Images for Movement Analysis,
ChaLearnDec15(312-320)
IEEE DOI 1602
Cameras BibRef

Rafi, U.[Umer], Gall, J.[Juergen], Leibe, B.[Bastian],
A semantic occlusion model for human pose estimation from a single depth image,
ChaLearn15(67-74)
IEEE DOI 1510
Context BibRef

Phan, A.[Andrew], Ferrie, F.P.[Frank P.],
Towards 3D human posture estimation using multiple kinects despite self-contacts,
MVA15(567-571)
IEEE DOI 1507
Adaptive optics BibRef

Kostrikov, I.[Ilya], Gall, J.[Juergen],
Depth Sweep Regression Forests for Estimating 3D Human Pose from Images,
BMVC14(xx-yy).
HTML Version. 1410
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Clarkson, S.[Sean], Wheat, J.[Jon], Heller, B.[Ben], Choppin, S.[Simon],
Assessing the Suitability of the Microsoft Kinect for Calculating Person Specific Body Segment Parameters,
CDC4CV14(372-385).
Springer DOI 1504
BibRef

Schick, A.[Alexander], Stiefelhagen, R.[Rainer],
3D Pictorial Structures for Human Pose Estimation with Supervoxels,
WACV15(140-147)
IEEE DOI 1503
Complexity theory BibRef

Amin, S.[Sikandar], Müller, P.[Philipp], Bulling, A.[Andreas], Andriluka, M.[Mykhaylo],
Test-Time Adaptation for 3D Human Pose Estimation,
GCPR14(253-264).
Springer DOI 1411
BibRef

Puwein, J.[Jens], Ballan, L.[Luca], Ziegler, R.[Remo], Pollefeys, M.[Marc],
Joint Camera Pose Estimation and 3D Human Pose Estimation in a Multi-camera Setup,
ACCV14(II: 473-487).
Springer DOI 1504
BibRef
And:
Foreground Consistent Human Pose Estimation Using Branch and Bound,
ECCV14(V: 315-330).
Springer DOI 1408
BibRef

Burenius, M.[Magnus], Sullivan, J.[Josephine], Carlsson, S.[Stefan],
3D Pictorial Structures for Multiple View Articulated Pose Estimation,
CVPR13(3618-3625)
IEEE DOI 1309
human pose estimation BibRef

Malleson, C., Klaudiny, M., Hilton, A., Guillemaut, J.Y.[Jean-Yves],
Single-View RGBD-Based Reconstruction of Dynamic Human Geometry,
4DMOD13(307-314)
IEEE DOI 1403
computer animation BibRef

Lallemand, J.[Joe], Ronge, A.[Alexandra], Szczot, M.[Magdalena], Ilic, S.[Slobodan],
Pedestrian Orientation Estimation,
GCPR14(476-487).
Springer DOI 1411
BibRef
Earlier: A1, A3, A4, Only:
Human Pose Estimation in Stereo Images,
AMDO14(10-19).
Springer DOI 1407
BibRef

Lallemand, J., Pauly, O., Schwarz, L., Tan, D., Ilic, S.,
Multi-task Forest for Human Pose Estimation in Depth Images,
3DV13(271-278)
IEEE DOI 1311
image classification BibRef

Tsao, I.C.[I-Chung], Huang, C.L.[Chung-Lin],
Real-time human object motion parameters estimation from depth images,
ICPR12(829-832).
WWW Link. 1302
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Ji, H.[Hao], Su, F.[Fei],
Robust 3D human pose estimation via dual dictionaries learning,
ICPR12(3370-3373).
WWW Link. 1302
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Haseeb, M.[Muhammad], Hancock, E.R.[Edwin R.],
Unsupervised Clustering of Human Pose Using Spectral Embedding,
SSSPR12(467-473).
Springer DOI 1211
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Haseeb, M.[Muhammad], Hancock, E.R.[Edwin R.],
3D Shape Classification Using Commute Time,
SSSPR12(208-215).
Springer DOI 1211
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Tsoli, A.[Aggeliki], Loper, M.[Matthew], Black, M.J.[Michael J.],
Model-based anthropometry: Predicting measurements from 3D human scans in multiple poses,
WACV14(83-90)
IEEE DOI 1406
Deformable models BibRef

Hirshberg, D.A.[David A.], Loper, M.[Matthew], Rachlin, E.[Eric], Black, M.J.[Michael J.],
Coregistration: Simultaneous Alignment and Modeling of Articulated 3D Shape,
ECCV12(VI: 242-255).
Springer DOI 1210
BibRef

Kanaujia, A.[Atul], Kittens, N.[Nicholas], Ramanathan, N.[Narayanan],
Part Segmentation of Visual Hull for 3D Human Pose Estimation,
HAU3D13(542-549)
IEEE DOI 1309
BibRef

Kanaujia, A.[Atul], Haering, N.[Niels], Taylor, G.[Graham], Bregler, C.[Chris],
3D Human pose and shape estimation from multi-view imagery,
HAU3D11(49-56).
IEEE DOI 1106
BibRef

Kanaujia, A.[Atul], Sminchisescu, C.[Cristian], Metaxas, D.N.[Dimitris N.],
Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Eyjolfsdottir, E.[Eyrun], Turk, M.A.[Matthew A.],
Multisensory embedded pose estimation,
WACV11(23-30).
IEEE DOI 1101
BibRef

Chen, L.[Lili], Panin, G.[Giorgio], Knoll, A.[Alois],
Human Body Orientation Estimation in Multiview Scenarios,
ISVC12(II: 499-508).
Springer DOI 1209
BibRef

Baak, A.[Andreas], Muller, M.[Meinard], Bharaj, G.[Gaurav], Seidel, H.P.[Hans-Peter], Theobalt, C.[Christian],
A data-driven approach for real-time full body pose reconstruction from a depth camera,
ICCV11(1092-1099).
IEEE DOI 1201
BibRef

Park, J.B.[Jae Byung],
Stereo vision based intuitive posture input system using a portable color marked puppet,
ICARCV08(1521-1525).
IEEE DOI 1109
BibRef

Wang, Z.[Zibin], Chung, R.[Ronald],
Recovering human pose in 3D by visual manifolds,
ICPR12(1771-1774).
WWW Link. 1302
BibRef
Earlier:
Integrating Multiple Uncalibrated Views for Human 3D Pose Estimation,
ISVC10(III: 280-290).
Springer DOI 1011
BibRef
And:
Articulated Human Body: 3D Pose Estimation Using a Single Camera,
ICPR10(3768-3771).
IEEE DOI 1008
BibRef

Charles, J.[James], Everingham, M.R.[Mark R.],
Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect,
ConDepth11(1202-1208).
IEEE DOI 1201
BibRef

Luo, X.H.[Xing-Han], Berendsen, B.[Berend], Tan, R.T.[Robby T.], Veltkamp, R.C.[Remco C.],
Human Pose Estimation for Multiple Persons Based on Volume Reconstruction,
ICPR10(3591-3594).
IEEE DOI 1008
BibRef

Huang, W.M.[Wei-Min], Wai, A.A.P.[Aung Aung Phyo], Foo, S.F.[Siang Fook], Biswas, J.[Jit], Hsia, C.C.[Chi-Chun], Liou, K.[Koujuch],
Multimodal Sleeping Posture Classification,
ICPR10(4336-4339).
IEEE DOI 1008
BibRef

Wei, X.L.K.[Xiao-Lin K.], Chai, J.X.[Jin-Xiang],
Modeling 3D Human Poses from Uncalibrated Monocular Images,
ICCV09(1873-1880).
IEEE DOI 0909
BibRef

Ning, H.Z.[Hua-Zhong], Xu, W.[Wei], Gong, Y.H.[Yi-Hong], Huang, T.S.[Thomas S.],
Discriminative learning of visual words for 3D human pose estimation,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Tanaka, H.[Hidenori], Nakazawa, A.[Atsushi], Takemura, H.[Haruo],
Human Pose Estimation from Volume Data and Topological Graph Database,
ACCV07(I: 618-627).
Springer DOI 0711
BibRef

Albus, J.S., Hong, T.[Tsai], Chang, T.,
Segmentation and Classification of Human Forms using LADAR Data,
AIPR06(7-7).
IEEE DOI 0610
BibRef

Wang, Z.[Zheng], Gagalowicz, A.[Andre], Sun, M.J.[Mei-Jun],
Low-Cost Multi-image Based 3D Human Body Modeling,
MIRAGE09(265-276).
Springer DOI 0905
BibRef

Le, S.N.[Sang N.], Karlekar, J.[Jayashree], Fang, A.C.[Anthony C.],
Articulated registration of 3D human geometry to X-ray image,
ICIP08(1108-1111).
IEEE DOI 0810
BibRef

Gond, L.[Laetitia], Sayd, P.[Patrick], Chateau, T.[Thierry], Dhome, M.[Michel],
A regression-based approach to recover human pose from voxel data,
THEMIS09(1012-1019).
IEEE DOI 0910
BibRef
Earlier:
A 3D Shape Descriptor for Human Pose Recovery,
AMDO08(xx-yy).
Springer DOI 0807
BibRef

Cuzzolin, F.[Fabio], Mateus, D.[Diana], Knossow, D.[David], Boyer, E.[Edmond], Horaud, R.[Radu],
Coherent Laplacian 3-D protrusion segmentation,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Mateus, D.[Diana], Cuzzolin, F.[Fabio], Horaud, R.[Radu], Boyer, E.[Edmond],
Articulated Shape Matching by Robust Alignment of Embedded Representations,
ICCV07(1-8).
IEEE DOI 0710
BibRef
And:
Articulated Shape Matching Using Locally Linear Embedding and Orthogonal Alignment,
NRTL07(1-8).
IEEE DOI 0710
BibRef
Earlier: A2, A1, A4, A3:
Robust Spectral 3D-Bodypart Segmentation Along Time,
HUMO07(196-211).
Springer DOI 0710
BibRef

Yamauchi, K.[Koichiro], Sato, Y.[Yukio],
3D Human Body Measurement by Multiple Range Images,
ICPR06(IV: 833-836).
IEEE DOI 0609
BibRef

Wang, R.X.[Rui-Xuan], Leow, W.K.[Wee Kheng],
Human Posture Analysis Under Partial Self-occlusion,
ICIAR06(I: 874-885).
Springer DOI 0610
BibRef
Earlier:
Human Posture Sequence Estimation Using Two Un-calibrated Cameras,
BMVC05(xx-yy).
HTML Version. 0509
BibRef
And:
Human Body Posture Refinement by Nonparametric Belief Propagation,
ICIP05(III: 1272-1275).
IEEE DOI 0512
BibRef

Grest, D.[Daniel], Woetzel, J.[Jan], Koch, R.[Reinhard],
Nonlinear Body Pose Estimation from Depth Images,
DAGM05(285).
Springer DOI 0509
BibRef

Quah, C.K.[Chee Kwang], Gagalowicz, A.[Andre], Roussel, R.[Richard], Seah, H.S.[Hock Soon],
3D Modeling of Humans with Skeletons from Uncalibrated Wide Baseline Views,
CAIP05(379).
Springer DOI 0509
BibRef

Furukawa, D., Kitasaka, T., Mori, K., Suenaga, Y., Mase, K., Takahashi, T.,
Spine posture estimation method from human images using 3D spine model: computation of the rough approximation of the physical forces working on vertebral bodies,
ICPR04(III: 322-325).
IEEE DOI 0409
BibRef

Leykin, A., Cutzu, F., Tuceryan, M.,
Using Multiple Views To Resolve Human Body Tracking Ambiguities,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Hu, M.[Min], Lou, J.G.[Jian-Guang], Hu, W.M.[Wei-Ming], Tan, T.N.[Tie-Niu],
Multi-camera correspondence based on principal axis of human body,
ICIP04(II: 1057-1060).
IEEE DOI 0505
BibRef

Haritaoglu, I., Beymer, D., Flickner, M.D.,
Ghost-3D: detecting body posture and parts using stereo,
Motion02(175-180).
IEEE DOI 0303
BibRef

Iwasawa, S.[Shoichiro], Ohya, J.[Jun], Takahashi, K.[Kazuhiko], Sakaguchi, T.[Tatsumi], Ebihara, K.[Kazuyuki], Morishima, S.[Shigeo],
Human Body Postures from Trinocular Camera Images,
AFGR00(326-331).
IEEE DOI 0003
BibRef

Iwasawa, S., Ohya, J., Takahashi, K., Sakaguchi, T., Kawato, S., Ebihara, K., Morishima, S.,
Real-time, 3D Estimation of Human Body Postures from Trinocular Images,
MPeople99(xx-yy). BibRef 9900

Takahashi, K., Sakaguchi, T., Ohya, J.,
Remarks on a Real-time 3d Human Body Posture Estimation Method Using Trinocular Images,
ICPR00(Vol IV: 693-697).
IEEE DOI 0009
BibRef

Iwasawa, S., Ebihara, K., Ohya, J., Morishima, S.,
Real-Time Human Posture Estimation Using Monocular Thermal Images,
AFGR98(492-497).
IEEE DOI BibRef 9800
Earlier:
Real-Time Estimation of Human Body Posture from Monocular Thermal Images,
CVPR97(15-20).
IEEE DOI 9704
Posture ("gesture"). BibRef

Ohya, J., Kishino, F.,
Human Posture Estimation from Multiple Images Using Genetic Algorithm,
ICPR94(A:750-753).
IEEE DOI BibRef 9400

Lyons, D.M.[Damian M.], Pelletier, D.L.[Daniel L.],
A Line-Scan Computer Vision Algorithm for Identifying Human Body Features,
GW99(85).
Springer DOI 9903
BibRef

Iwai, Y.[Yoshio], Manjoh, K.[Keita], Yachida, M.[Masahiko],
Gesture and Posture Estimation by Using Locally Linear Regression,
AMDO02(177 ff.).
Springer DOI 0303
BibRef

Iwai, Y., Ogaki, K., Yachida, M.,
Posture Estimation using Structure and Motion Models,
ICCV99(214-219).
IEEE DOI BibRef 9900

Li, Y.[Yi], Ma, S.D.[Song-De], Lu, H.Q.[Han-Qing],
Human Posture Recognition Using Multi-Scale Morphological Method and Kalman Motion Estimation,
ICPR98(Vol I: 175-177).
IEEE DOI 9808
BibRef
And:
A Multi-Scale Morphological Method for Human Posture Recognition,
AFGR98(56-61).
IEEE DOI BibRef

Li, P., Jones, P.R.M.,
Automatic Editing and Curve Fitting of 3D Surface Scanned Data of the Human Body,
3DIM97(11 - Human Shape Modeling) 9702
BibRef

Chan, M., Metaxas, D.,
Physics-Based Object Pose and Shape Estimation from Multiple Views,
ICPR94(A:326-330).
IEEE DOI BibRef 9400

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Pose Tracking, Posture Tracking, Posture from Video, Pose from Motion .


Last update:Mar 16, 2024 at 20:36:19