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Earlier: A2, A3, A1:
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IEEE DOI
0409
BibRef
Earlier: A2, A3, A1:
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3DIM03(378-385).
IEEE DOI
0311
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And: A2, A1, A3:
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Werghi, N.[Naoufel],
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0704
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Earlier: A1, A2, Only:
Posture recognition and segmentation from 3D human body scans,
3DPVT02(636-639).
IEEE DOI
0206
BibRef
And: A1, A2, Only:
Recognition of human body posture from a cloud of 3d data points using
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AFGR02(70-75).
IEEE DOI
0206
BibRef
And: A1, A2, Only:
Wavelet moments for recognizing human body posture from 3d scans,
ICPR02(I: 319-322).
IEEE DOI
0211
BibRef
Werghi, N.[Naoufel],
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A Survey,
SMC-C(37), No. 6, November 2007, pp. 1122-1136.
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0709
Survey, Human Shape.
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0912
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Articulated tracking; Graphical model; Belief propagation; Body pose;
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IEEE DOI
0709
BibRef
Bernier, O.J.[Olivier J.],
Real-Time 3D Articulated Pose Tracking using Particle Filters
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ICPR06(I: 90-93).
IEEE DOI
0609
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2D Articulated Body Tracking with Self-occultations Handling,
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0807
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1001
To reconstruct pose from monocular and multiple images.
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Shotton, J.J.D.[Jamie J.D.],
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1301
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IEEE DOI
1106
Award, CVPR. Predict human pose, the 3-D positions of body joints,from a single
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Moore, R.[Richard],
Kohli, P.[Pushmeet],
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PAMI(35), No. 12, 2013, pp. 2821-2840.
IEEE DOI
1311
Human Actions. Cameras
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Girshick, R.[Ross],
Shotton, J.D.J.[Jamie D.J.],
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IEEE DOI
1201
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Detecting end-effectors on 2.5D data using geometric deformable models:
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1302
Depth image; Range camera; End-effector; Human pose estimation;
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HCI11(391-398).
IEEE DOI
1201
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Ho, E.S.L.,
Jiang, Y.,
Takagi, S.,
Real-Time Posture Reconstruction for Microsoft Kinect,
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IEEE DOI
1309
Databases
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IEEE DOI
1309
Data mining
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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
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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
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3D human pose estimation from image using couple sparse coding,
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Springer DOI
1408
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Elsevier DOI
1410
Segmentation
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1411
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An Automatic Design of Factors in a Human-Pose Estimation System
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1606
Artificial neural networks
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Real-time
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1511
employment
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3D shape context
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IEEE DOI
1507
BibRef
Earlier: A2, A1, A3, A4:
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1403
Pose estimation; Segmentation
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1506
Human shape refinement using RGB-D data
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Real-Time Simultaneous Pose and Shape Estimation for Articulated
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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
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Lai, Y.K.[Yu-Kun],
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1608
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1608
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Ho, E.S.L.[Edmond S.L.],
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Cheung, Y.M.[Yiu-Ming],
Yuen, P.C.[Pong C.],
Improving posture classification accuracy for depth sensor-based
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Elsevier DOI
1606
Smart environments
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Palmero, C.[Cristina],
Clapés, A.[Albert],
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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
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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
BibRef
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
BibRef
Ji, H.[Hao],
Su, F.[Fei],
Robust 3D human pose estimation via dual dictionaries learning,
ICPR12(3370-3373).
WWW Link.
1302
BibRef
Haseeb, M.[Muhammad],
Hancock, E.R.[Edwin R.],
Unsupervised Clustering of Human Pose Using Spectral Embedding,
SSSPR12(467-473).
Springer DOI
1211
BibRef
Haseeb, M.[Muhammad],
Hancock, E.R.[Edwin R.],
3D Shape Classification Using Commute Time,
SSSPR12(208-215).
Springer DOI
1211
BibRef
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 Recognition from Video, Pose from Motion .