22.4.2.3.2 Hand Pose, Hand Posture, Hand Shape

Deng, X., Zhang, Y., Yang, S., Tan, P., Chang, L., Yuan, Y., Wang, H.,
Joint Hand Detection and Rotation Estimation Using CNN,
IP(27), No. 4, April 2018, pp. 1888-1900.
IEEE DOI 1802
neural nets, palmprint recognition, CNN, Egohands database, Oxford database, convolutional neural network, hand detection, rotation estimation BibRef

Chen, T.Y.[Tzu-Yang], Ting, P.W.[Pai-Wen], Wu, M.Y.[Min-Yu], Fu, L.C.[Li-Chen],
Learning a deep network with spherical part model for 3D hand pose estimation,
PR(80), 2018, pp. 1-20.
Elsevier DOI 1805
Hand detection, Hand pose estimation, Deep learning, Convolutional neural network, Spherical part model BibRef

Chen, T.Y.[Tzu-Yang], Wu, M.Y.[Min-Yu], Hsieh, Y.H., Fu, L.C.[Li-Chen],
Deep learning for integrated hand detection and pose estimation,
ICPR16(615-620)
IEEE DOI 1705
Detectors, Feature extraction, Machine learning, Neural networks, Pose estimation, Proposals, Reliability, convolutional neural network, deep learning, hand detection, pose, estimation BibRef

Tang, D.H.[Dan-Hang], Ye, Q.[Qi], Yuan, S.X.[Shan-Xin], Taylor, J.[Jonathan], Kohli, P.[Pushmeet], Keskin, C.[Cem], Kim, T.K.[Tae-Kyun], Shotton, J.[Jamie],
Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation,
PAMI(41), No. 9, Sep. 2019, pp. 2161-2175.
IEEE DOI 1908
BibRef
Earlier: A1, A4, A5, A6, A7, A8, Only:
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose,
ICCV15(3325-3333)
IEEE DOI 1602
Optimization, Kinematics, Pose estimation, Inverse problems, Forestry, particle swarm optimization. BibRef

Yang, L.[Li], Qi, Z.[Zhi], Liu, Z.[Zeheng], Liu, H.[Hao], Ling, M.[Ming], Shi, L.X.[Long-Xing], Liu, X.N.[Xin-Ning],
An embedded implementation of CNN-based hand detection and orientation estimation algorithm,
MVA(30), No. 6, September 2019, pp. 1071-1082.
Springer DOI 1909
BibRef

Yang, L.[Li], Qi, Z.[Zhi], Liu, Z.[Zeheng], Zhou, S., Zhang, Y., Liu, H., Wu, J., Shi, L.X.[Long-Xing],
A Light CNN based Method for Hand Detection and Orientation Estimation,
ICPR18(2050-2055)
IEEE DOI 1812
Feature extraction, Estimation, Computer architecture, Object detection, Convolution, Detectors, Skin, hand detection, convolutional neural network BibRef

Li, M.[Minglei], Sun, L.[Lei], Huo, Q.A.[Qi-Ang],
Flow-guided feature propagation with occlusion aware detail enhancement for hand segmentation in egocentric videos,
CVIU(187), 2019, pp. 102785.
Elsevier DOI 1909
Hand segmentation, Egocentric video, Feature propagation, Detail enhancement, Occlusion BibRef

Li, X.F.[Xue-Feng], Zhou, Y.D.[Yi-Dan], Sun, Y.[Yi], Lin, X.B.[Xiang-Bo], Ma, X.H.[Xiao-Hong],
A multi-branch hand pose estimation network with joint-wise feature extraction and fusion,
SP:IC(81), 2020, pp. 115692.
Elsevier DOI 1912
Hand pose estimation, Neural network, Human-computer interaction, Depth images BibRef

Lin, X.B.[Xiang-Bo], Zhou, Y.D.[Yi-Dan], Du, K.[Kuo], Sun, Y.[Yi], Ma, X.H.[Xiao-Hong], Lu, J.[Jian],
Multi-Level Fusion Net for hand pose estimation in hand-object interaction,
SP:IC(94), 2021, pp. 116196.
Elsevier DOI 2104
Hand pose estimation, Hand-object interaction, Occlusion, RGBD, Convolutional Neural Networks BibRef

Guo, F.T.[Fang-Tai], He, Z.X.[Zai-Xing], Zhang, S.Y.[Shu-You], Zhao, X.Y.[Xin-Yue],
Estimation of 3D human hand poses with structured pose prior,
IET-CV(13), No. 8, December 2019, pp. 683-690.
DOI Link 1912
BibRef

Fang, L.P.[Lin-Pu], Liang, N.X.[Ning-Xin], Kang, W.X.[Wen-Xiong], Wang, Z.Y.[Zhi-Yong], Feng, D.D.[David Dagan],
Real-time hand posture recognition using hand geometric features and Fisher Vector,
SP:IC(82), 2020, pp. 115729.
Elsevier DOI 2001
Hand posture recognition, Geometric features, Fisher Vector BibRef

Wang, Y., Zhang, B., Peng, C.,
SRHandNet: Real-Time 2D Hand Pose Estimation With Simultaneous Region Localization,
IP(29), 2020, pp. 2977-2986.
IEEE DOI 2002
Pose estimation, Color, Heating systems, Training, Machine learning, inference feedback BibRef

Li, Y., Wang, X., Liu, W., Feng, B.,
Pose Anchor: A Single-Stage Hand Keypoint Detection Network,
CirSysVideo(30), No. 7, July 2020, pp. 2104-2113.
IEEE DOI 2007
Pose estimation, Proposals, Task analysis, Detectors, Pipelines, deep CNN BibRef

Chen, Z.[Zheng], Du, K.[Kuo], Sun, Y.[Yi], Lin, X.B.[Xiang-Bo], Ma, X.H.[Xiao-Hong],
Hierarchical neural network for hand pose estimation,
SP:IC(87), 2020, pp. 115909.
Elsevier DOI 2007
Hand pose estimation, Hierarchical neural network, Interference cancellation operation BibRef

Wu, M.Y.[Min-Yu], Ting, P.W.[Pai-Wen], Tang, Y.H.[Ya-Hui], Chou, E.T.[En-Te], Fu, L.C.[Li-Chen],
Hand pose estimation in object-interaction based on deep learning for virtual reality applications,
JVCIR(70), 2020, pp. 102802.
Elsevier DOI 2007
Hand pose estimation, Deep learning, Convolutional neural network, Spherical part model BibRef

Escobedo Cardenas, E.J.[Edwin Jonathan], Chavez, G.C.[Guillermo Camara],
Multimodal hand gesture recognition combining temporal and pose information based on CNN descriptors and histogram of cumulative magnitudes,
JVCIR(71), 2020, pp. 102772.
Elsevier DOI 2009
Hand gesture recognition, Spherical coordinates, Keyframe extraction, Pose and motion information, Fusion schemes BibRef

Zhang, X.Q.[Xiong-Quan], Huang, S.L.[Shi-Liang], Ye, Z.F.[Zhong-Fu],
Accurate 3D hand pose estimation network utilizing joints information,
SP:IC(90), 2021, pp. 116035.
Elsevier DOI 2012
Hand pose estimation, Deep regression, Multi-stage, 2D CNN, Depth image BibRef

Guo, S.X.[Shao-Xiang], Rigall, E., Qi, L., Dong, X., Li, H., Dong, J.Y.[Jun-Yu],
Graph-Based CNNs With Self-Supervised Module for 3D Hand Pose Estimation From Monocular RGB,
CirSysVideo(31), No. 4, April 2021, pp. 1514-1525.
IEEE DOI 2104
Pose estimation, Feature extraction, Cameras, self-supervision BibRef

Guo, S.X.[Shao-Xiang], Rigall, E.[Eric], Ju, Y.K.[Ya-Kun], Dong, J.Y.[Jun-Yu],
3D Hand Pose Estimation From Monocular RGB With Feature Interaction Module,
CirSysVideo(32), No. 8, August 2022, pp. 5293-5306.
IEEE DOI 2208
Skeleton, Pose estimation, Solid modeling, Feature extraction, Task analysis, Semantics, Hand pose estimation, graph CNN, 3D computer vision BibRef

Deng, X., Zhang, Y., Shi, J., Zhu, Y., Cheng, D., Zuo, D., Cui, Z., Tan, P., Chang, L., Wang, H.,
Hand Pose Understanding With Large-Scale Photo-Realistic Rendering Dataset,
IP(30), 2021, pp. 4275-4290.
IEEE DOI 2104
Annotations, Pose estimation, Task analysis, Color, Image color analysis, multi-task CNN BibRef

Sharma, S.[Sanjeev], Huang, S.L.[Shao-Li],
An end-to-end framework for unconstrained monocular 3D hand pose estimation,
PR(115), 2021, pp. 107892.
Elsevier DOI 2104
Hand detection, Hand tracking, Hand pose estimation, Deep learning BibRef

Ding, L.[Lu], Wang, Y.[Yong], Laganière, R.[Robert], Huang, D.[Dan], Fu, S.[Shan],
A CNN model for real time hand pose estimation,
JVCIR(79), 2021, pp. 103200.
Elsevier DOI 2109
Hand pose estimation, CNN, Model-based, Fine-tuning BibRef

Li, M.[Moran], Wang, J.L.[Jia-Long], Sang, N.[Nong],
Latent Distribution-Based 3D Hand Pose Estimation From Monocular RGB Images,
CirSysVideo(31), No. 12, December 2021, pp. 4883-4894.
IEEE DOI 2112
Pose estimation, Heating systems, Cameras, latent representation BibRef

Kourbane, I.[Ikram], Genc, Y.[Yakup],
A hybrid classification-regression approach for 3D hand pose estimation using graph convolutional networks,
SP:IC(101), 2022, pp. 116564.
Elsevier DOI 2201
3D hand pose estimation, Graph convolutional networks, Classification, Multi-stage learning, Monocular RGB image BibRef

Zhang, X.Y.[Xing-Yuan], Zhang, F.[Fuhai],
Differentiable Spatial Regression: A Novel Method for 3D Hand Pose Estimation,
MultMed(24), 2022, pp. 166-176.
IEEE DOI 2202
Pose estimation, Decoding, Neural networks, Cameras, Space heating, image recognition BibRef

Pan, T.H.[Tian-Hong], Wang, Z.[Zheng], Fan, Y.[Yuan],
Optimized convolutional pose machine for 2D hand pose estimation,
JVCIR(83), 2022, pp. 103461.
Elsevier DOI 2202
Convolutional block attention module (CBAM), Convolutional pose machine (CPM), 2D hand pose estimation, Feature fusion BibRef

Gupta, D.[Divyansh], Artacho, B.[Bruno], Savakis, A.[Andreas],
HandyPose: Multi-level framework for hand pose estimation,
PR(128), 2022, pp. 108674.
Elsevier DOI 2205
Hand pose estimation, Feature representations BibRef

Li, R.[Rui], Wang, H.Y.[Hong-Yu], Liu, Z.Y.[Zhen-Yu],
Survey on Mapping Human Hand Motion to Robotic Hands for Teleoperation,
CirSysVideo(32), No. 5, May 2022, pp. 2647-2665.
IEEE DOI 2205
Robots, Kinematics, Pose estimation, Joints, Haptic interfaces, Visualization, Cameras, Teleoperation, human hand pose estimation, motion retargeting BibRef

Avola, D.[Danilo], Cinque, L.[Luigi], Fagioli, A.[Alessio], Foresti, G.L.[Gian Luca], Fragomeni, A.[Adriano], Pannone, D.[Daniele],
3D hand pose and shape estimation from RGB images for keypoint-based hand gesture recognition,
PR(129), 2022, pp. 108762.
Elsevier DOI 2206
Hand pose estimation, Hand shape estimation, Deep learning, Hand gesture recognition BibRef

Lee, T.H.[Tae-Ho], Kim, S.[Sunwoong], Kim, T.[Taehyun], Kim, J.S.[Jin-Sung], Lee, H.J.[Hyuk-Jae],
Virtual Keyboards With Real-Time and Robust Deep Learning-Based Gesture Recognition,
HMS(52), No. 4, August 2022, pp. 725-735.
IEEE DOI 2208
Layout, Keyboards, Indexes, Thumb, Mathematical models, Real-time systems, Optimization, Augmented reality (AR), virtual reality (VR) BibRef

Jin, R.[Rui], Zhang, J.[Jing], Yang, J.Y.[Jian-Yu], Tao, D.C.[Da-Cheng],
Multibranch Adversarial Regression for Domain Adaptative Hand Pose Estimation,
CirSysVideo(32), No. 9, September 2022, pp. 6125-6136.
IEEE DOI 2209
Training, Pose estimation, Adaptation models, Task analysis, Feature extraction, Training data, Data models, mean teacher BibRef

Wu, P.P.[Ping-Ping], Fei, L.[Lunke], Li, S.Y.[Shu-Yi], Zhao, S.P.[Shu-Ping], Fang, X.Z.[Xiao-Zhao], Teng, S.H.[Shao-Hua],
Towards pen-holding hand pose recognition: A new benchmark and a coarse-to-fine PHHP recognition network,
IET-Bio(11), No. 6, 2022, pp. 581-587.
DOI Link 2212
deep learning network, hand pose recognition, joint feature learning, pen-holding hand pose recognition BibRef

Malik, J.[Jameel], Shimada, S.[Soshi], Elhayek, A.[Ahmed], Ali, S.A.[Sk Aziz], Theobalt, C.[Christian], Golyanik, V.[Vladislav], Stricker, D.[Didier],
HandVoxNet++: 3D Hand Shape and Pose Estimation Using Voxel-Based Neural Networks,
PAMI(44), No. 12, December 2022, pp. 8962-8974.
IEEE DOI 2212
Shape, Pose estimation, Solid modeling, Topology, Heating systems, Network topology, NRGA++ BibRef

Malik, J.[Jameel], Abdelaziz, I., Elhayek, A., Shimada, S.[Soshi], Ali, S.A.[Sk Aziz], Golyanik, V.[Vladislav], Theobalt, C.[Christian], Stricker, D.[Didier],
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map,
CVPR20(7111-7120)
IEEE DOI 2008
Shape, Pose estimation, Heating systems, Distortion BibRef

Mahdikhanlou, K.[Khadijeh], Ebrahimnezhad, H.[Hossein],
3D hand pose estimation from a single RGB image by weighting the occlusion and classification,
PR(136), 2023, pp. 109217.
Elsevier DOI 2301
3D hand pose estimation, Semantic segmentation, Occlusion weight, Hand pose classification BibRef

Bandini, A.[Andrea], Zariffa, J.[José],
Analysis of the Hands in Egocentric Vision: A Survey,
PAMI(45), No. 6, June 2023, pp. 6846-6866.
IEEE DOI 2305
Semantics, Cameras, Activity recognition, Pose estimation, Human computer interaction, Gesture recognition, Taxonomy BibRef

Zheng, Z.W.[Zhi-Wei], Hu, Z.X.[Zhong-Xu], Qin, H.[Hui], Liu, J.[Jie],
Stacked graph bone region U-net with bone representation for hand pose estimation and semi-supervised training,
IVC(134), 2023, pp. 104673.
Elsevier DOI 2305
3D hand pose estimation, 2D-to-3D, Deep learning, Graph convolution, Semi-supervised training BibRef

Ren, J.[Jinwei], Zhu, J.[Jianke], Zhang, J.L.[Jia-Liang],
End-to-end weakly-supervised single-stage multiple 3D hand mesh reconstruction from a single RGB image,
CVIU(232), 2023, pp. 103706.
Elsevier DOI 2305
End-to-end network, 3D Reconstruction, Single stage, Weakly-supervision, Multiple hands BibRef

Chen, M.Q.[Ming-Qi], Li, S.D.[Shao-Dong], Shuang, F.[Feng], Liu, X.[Xi], Luo, K.[Kai], He, W.B.[Wen-Bo],
Lightweight 3D hand pose estimation by cascading CNNs with reinforcement learning,
PRL(174), 2023, pp. 137-144.
Elsevier DOI 2310
BibRef
Earlier: A1, A2, A3, A5, Only:
Cascading CNNs with S-DQN: A Parameter-Parsimonious Strategy for 3D Hand Pose Estimation,
MMMod23(I: 358-369).
Springer DOI 2304
Hand pose estimation, Feature exploitation, Reinforcement learning, Real-time performance BibRef

Ohkawa, T.[Takehiko], Sato, R.F.Y.[Ryosuke Furuta Yoichi],
Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey,
IJCV(131), No. 12, December 2023, pp. 3193-3206.
Springer DOI 2311
Surevey, Hand Pose. BibRef

Lu, H.F.[Hao-Fan], Gou, S.P.[Shui-Ping], Li, R.M.[Rui-Min],
SPMHand: Segmentation-Guided Progressive Multi-Path 3D Hand Pose and Shape Estimation,
MultMed(26), 2024, pp. 6822-6833.
IEEE DOI 2404
Shape, Image segmentation, Solid modeling, Task analysis, Optimization, Transformers, segmentation-guided deocclusion BibRef

Shuang, F.[Feng], He, W.B.[Wen-Bo], Li, S.D.[Shao-Dong],
3D hand reconstruction via aggregating intra and inter graphs guided by prior knowledge for hand-object interaction scenario,
JVCIR(100), 2024, pp. 104129.
Elsevier DOI 2405
3D hand reconstruction, Hand-object interaction scenario, MANO model, Mutual graph-attention BibRef

Roy, K.[Kankana], Sahay, R.R.[Rajiv R.],
Hand Segmentation With Dense Dilated U-Net and Structurally Incoherent Nonnegative Matrix Factorization-Based Gesture Recognition,
HMS(54), No. 3, June 2024, pp. 238-249.
IEEE DOI 2405
Image segmentation, Gesture recognition, Feature extraction, Convolution, Task analysis, Deep learning, structurally incoherent NMF (SINMF) BibRef

Jiao, Z.X.[Zi-Xun], Wang, X.[Xihan], Li, J.[Jingcao], Gao, R.X.[Rong-Xin], He, M.[Miao], Liang, J.[Jiao], Xia, Z.Q.[Zhao-Qiang], Gao, Q.[Quanli],
HandFormer: Hand pose reconstructing from a single RGB image,
PRL(183), 2024, pp. 155-164.
Elsevier DOI 2406
Hand attitude estimation, Hand attitude estimation and segmentation, Multi-scale features BibRef

Jamshidi, K.[Kiavash], Toosi, R.[Ramin], Akhaee, M.A.[Mohammad Ali],
Gender Recognition Based on Hand Images Employing Local and Global Shape Information,
Computer(57), No. 6, June 2024, pp. 50-61.
IEEE DOI 2406
Image recognition, Shape measurement, Feature extraction, Convolutional neural networks, Gender issues, Classification algorithms BibRef

Woo, T.[Taeyun], Kim, T.K.[Tae-Kyun], Park, J.[Jinah],
Hand-Object Reconstruction Via Interaction-Aware Graph Attention Mechanism,
ICIP24(3587-3593)
IEEE DOI 2411
Attention mechanisms, Shape, Imitation learning, Pose estimation, Stability analysis, Graph neural networks, graph neural networks BibRef

Kim, M.J.[Min-Je], Kim, T.K.[Tae-Kyun],
BiTT: Bi-Directional Texture Reconstruction of Interacting Two Hands from a Single Image,
CVPR24(10726-10735)
IEEE DOI Code:
WWW Link. 2410
Codes, Shape, Pipelines, Bidirectional control, Reconstruction algorithms, 3D Reconstruction, Texture Learning BibRef

Xie, P.F.[Peng-Fei], Xu, W.Q.[Wen-Qiang], Tang, T.[Tutian], Yu, Z.J.[Zhen-Jun], Lu, C.[Cewu],
MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints,
CVPR24(2382-2392)
IEEE DOI 2410
Biomechanics, Adaptation models, Visualization, Analytical models, Accuracy, Biological system modeling, Dynamics BibRef

Li, M.C.[Meng-Cheng], Zhang, H.W.[Hong-Wen], Zhang, Y.X.[Yu-Xiang], Shao, R.Z.[Rui-Zhi], Yu, T.[Tao], Liu, Y.B.[Ye-Bin],
HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models,
CVPR24(645-654)
IEEE DOI 2410
Training, Point cloud compression, Correlation, Convolution, Fitting, Gesture recognition BibRef

Zhou, Z.[Zhishan], Zhou, S.H.[Shi-Hao], Lv, Z.[Zhi], Zou, M.Q.[Min-Qiang], Tang, Y.[Yao], Liang, J.J.[Jia-Jun],
A Simple Baseline for Efficient Hand Mesh Reconstruction,
CVPR24(1367-1376)
IEEE DOI 2410
Codes, Generators, Real-time systems, Decoding BibRef

Ivashechkin, M.[Maksym], Mendez, O.[Oscar], Bowden, R.[Richard],
Two Hands Are Better Than One: Resolving Hand to Hand Intersections via Occupancy Networks,
FG24(1-9)
IEEE DOI 2408
Manifolds, Solid modeling, Accuracy, Pose estimation, Benchmark testing, Skeleton BibRef

Ziani, A.[Andrea], Fan, Z.C.[Zi-Cong], Kocabas, M.[Muhammed], Christen, S.[Sammy], Hilliges, O.[Otmar],
TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning,
3DV22(627-636)
IEEE DOI Code:
WWW Link. 2408
Shape, Pose estimation, Reconstruction algorithms, Probabilistic logic, Stability analysis, Task analysis BibRef

Mucha, W.[Wiktor], Kampel, M.[Martin],
In My Perspective, in My Hands: Accurate Egocentric 2D Hand Pose and Action Recognition,
FG24(1-9)
IEEE DOI Code:
WWW Link. 2408
Measurement, Accuracy, Face recognition, Pose estimation BibRef

Zhu, Z.[Zehao], Wang, J.S.[Jia-Shun], Qin, Y.Z.[Yu-Zhe], Sun, D.Q.[De-Qing], Jampani, V.[Varun], Wang, X.L.[Xiao-Long],
ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation,
3DV24(201-212)
IEEE DOI Code:
WWW Link. 2408
Visualization, Costs, Annotations, Pose estimation, Joints, Pose Estimation, Hand-Object Interaction, Diffusion Model, Visual Teleoperation BibRef

Kalshetti, P.[Pratik], Chaudhuri, P.[Parag],
Intrinsic Hand Avatar: Illumination-aware Hand Appearance and Shape Reconstruction from Monocular RGB Video,
WACV24(6108-6118)
IEEE DOI 2404
Training, Measurement, Geometry, Solid modeling, Monte Carlo methods, Shape, Avatars, Algorithms, Biometrics, face, gesture, body pose, 3D computer vision BibRef

Lee, J.Y.[Jih-Yun], Sung, M.[Minhyuk], Choi, H.G.[Hong-Gyu], Kim, T.K.[Tae-Kyun],
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes,
CVPR23(21169-21178)
IEEE DOI 2309
BibRef

Acevedo-Bringas, L.[Luis], Benitez-Garcia, G.[Gibran], Olivares-Mercado, J.[Jesus], Takahashi, H.[Hiroki],
YOLOv5 with Mixed Backbone for Efficient Spatio-Temporal Hand Gesture Localization and Recognition,
MVA23(1-5)
DOI Link 2403
Location awareness, Machine vision, Computer architecture, Computational efficiency BibRef

Salman, S.A.[Sartaj Ahmed], Zakir, A.[Ali], Benitez-Garcia, G.[Gibran], Takahashi, H.[Hiroki],
ACENet: Attention-Driven Contextual Features-Enhanced Lightweight EfficientNet for 2D Hand Pose Estimation,
IVCNZ23(1-6)
IEEE DOI 2403
Solid modeling, Computational modeling, Pose estimation, Input devices, global context BibRef

Zuo, B.H.[Bing-Hui], Zhao, Z.[Zimeng], Sun, W.Q.[Wen-Qian], Xie, W.[Wei], Xue, Z.[Zhou], Wang, Y.G.[Yan-Gang],
Reconstructing Interacting Hands with Interaction Prior from Monocular Images,
ICCV23(9020-9030)
IEEE DOI Code:
WWW Link. 2401
BibRef

Karvounas, G.[Giorgos], Kyriazis, N.[Nikolaos], Oikonomidis, I.[Iason], Argyros, A.[Antonis],
Dynamic Multiview Refinement of 3D Hand Datasets using Differentiable Ray Tracing,
AMFG23(3148-3158)
IEEE DOI 2401
BibRef

Huang, Z.S.[Zhi-Sheng], Chen, Y.J.[Yu-Jin], Kang, D.[Di], Zhang, J.[Jinlu], Tu, Z.G.[Zhi-Gang],
PHRIT: Parametric Hand Representation with Implicit Template,
ICCV23(14928-14938)
IEEE DOI 2401
BibRef

Ivashechkin, M.[Maksym], Mendez, O.[Oscar], Bowden, R.[Richard],
Denoising Diffusion for 3D Hand Pose Estimation from Images,
AMFG23(3128-3137)
IEEE DOI 2401
BibRef

Cheng, W.C.[Wen-Can], Ko, J.H.[Jong Hwan],
HandR2N2: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network,
ICCV23(20847-20856)
IEEE DOI Code:
WWW Link. 2401
BibRef

Fu, Q.C.[Qi-Chen], Liu, X.Y.[Xing-Yu], Xu, R.[Ran], Niebles, J.C.[Juan Carlos], Kitani, K.M.[Kris M.],
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation,
ICCV23(23543-23554)
IEEE DOI 2401
BibRef

Avola, D.[Danilo], Cinque, L.[Luigi], Marini, M.R.[Marco Raoul], Princic, A.[Andrea], Venanzi, V.[Valerio],
Keyrtual: A Lightweight Virtual Musical Keyboard Based on RGB-D and Sensors Fusion,
CAIP23(II:182-191).
Springer DOI 2312
BibRef

Dai, X.X.[Xin-Xin], Zhao, R.[Ran], Hu, P.P.[Peng-Peng], Palade, V.[Vasile], Munteanu, A.[Adrian],
Measure4dhand: Dynamic Hand Measurement Extraction from 4D Scans,
ICIP23(3543-3547)
IEEE DOI 2312
BibRef

Yu, Z.[Zhengdi], Huang, S.L.[Shao-Li], Fang, C.[Chen], Breckon, T.P.[Toby P.], Wang, J.[Jue],
ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction,
CVPR23(12955-12964)
IEEE DOI 2309
BibRef

Zhao, Z.M.[Zi-Meng], Zuo, B.H.[Bing-Hui], Long, Z.Y.[Zhi-Yu], Wang, Y.G.[Yan-Gang],
Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination,
CVPR23(12125-12136)
IEEE DOI 2309
BibRef

Yu, Z.W.[Zi-Wei], Li, C.[Chen], Yang, L.L.[Lin-Lin], Zheng, X.X.[Xiao-Xu], Mi, M.B.[Michael Bi], Lee, G.H.[Gim Hee], Yao, A.[Angela],
Overcoming the TradeOff between Accuracy and Plausibility in 3D Hand Shape Reconstruction,
CVPR23(544-553)
IEEE DOI 2309
BibRef

Potamias, R.A.[Rolandos Alexandros], Ploumpis, S.[Stylianos], Moschoglou, S.[Stylianos], Triantafyllou, V.[Vasileios], Zafeiriou, S.[Stefanos],
Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model,
CVPR23(4670-4680)
IEEE DOI 2309
BibRef

Luan, T.Y.[Tian-Yu], Zhai, Y.H.[Yuan-Hao], Meng, J.J.[Jing-Jing], Li, Z.[Zhong], Chen, Z.[Zhang], Xu, Y.[Yi], Yuan, J.S.[Jun-Song],
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition,
CVPR23(16795-16804)
IEEE DOI 2309
BibRef

Lin, Q.X.[Qiu-Xia], Yang, L.L.[Lin-Lin], Yao, A.[Angela],
Cross-Domain 3D Hand Pose Estimation with Dual Modalities,
CVPR23(17184-17193)
IEEE DOI 2309
BibRef

Wen, Y.L.[Yi-Lin], Pan, H.[Hao], Yang, L.[Lei], Pan, J.[Jia], Komura, T.[Taku], Wang, W.P.[Wen-Ping],
Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB Videos,
CVPR23(21243-21253)
IEEE DOI 2309
BibRef

Huang, L.[Lin], Lin, C.C.[Chung-Ching], Lin, K.[Kevin], Liang, L.[Lin], Wang, L.J.[Li-Juan], Yuan, J.S.[Jun-Song], Liu, Z.C.[Zi-Cheng],
Neural Voting Field for Camera-Space 3D Hand Pose Estimation,
CVPR23(8969-8978)
IEEE DOI 2309
BibRef

Oh, Y.[Yeonguk], Park, J.[JoonKyu], Kim, J.[Jaeha], Moon, G.[Gyeongsik], Lee, K.M.[Kyoung Mu],
Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding,
CVPR23(554-563)
IEEE DOI 2309
BibRef

Wang, C.Y.[Cong-Yi], Zhu, F.[Feida], Went, S.L.[Shi-Lei],
MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction,
CVPR23(564-573)
IEEE DOI 2309
BibRef

Di, X.H.[Xin-Han], Yu, P.Q.[Peng-Qian],
LWA-Hand: Lightweight Attention Hand for Interacting Hand Reconstruction,
CVMeta22(722-738).
Springer DOI 2304
BibRef

Huang, Z.Y.[Zhi-Yong], Chen, S.L.[Song-Lu], Liu, Q.[Qi], Zhang, C.J.[Chong-Jian], Chen, F.[Feng], Yin, X.C.[Xu-Cheng],
LiteHandNet: A Lightweight Hand Pose Estimation Network via Structural Feature Enhancement,
MMMod23(I: 321-333).
Springer DOI 2304
BibRef

Lee, S.[Seongyeong], Park, H.[Hansoo], Kim, D.U.[Dong Uk], Kim, J.[Jihyeon], Boboev, M.[Muhammadjon], Baek, S.[Seungryul],
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation,
WACV23(2933-2943)
IEEE DOI 2302
Training, Learning systems, Deep learning, Error analysis, Databases, Pose estimation, Algorithms: Biometrics, face, gesture, body pose, Vision + language and/or other modalities BibRef

Khaleghi, L.[Leyla], Marshall, J.[Joshua], Etemad, A.[Ali],
Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation,
ICPR22(535-541)
IEEE DOI 2212
Human computer interaction, Visualization, Solid modeling, Pose estimation, Pipelines, Transformers BibRef

Ohkawa, T.[Takehiko], Li, Y.J.[Yu-Jhe], Fu, Q.C.[Qi-Chen], Furuta, R.[Ryosuke], Kitani, K.M.[Kris M.], Sato, Y.[Yoichi],
Domain Adaptive Hand Keypoint and Pixel Localization in the Wild,
ECCV22(IX:68-87).
Springer DOI 2211
BibRef

Kong, D.Y.[De-Ying], Zhang, L.G.[Lin-Guang], Chen, L.J.[Liang-Jian], Ma, H.Y.[Hao-Yu], Yan, X.[Xiangyi], Sun, S.[Shanlin], Liu, X.W.[Xing-Wei], Han, K.[Kun], Xie, X.H.[Xiao-Hui],
Identity-Aware Hand Mesh Estimation and Personalization from RGB Images,
ECCV22(V:536-553).
Springer DOI 2211
BibRef

Corona, E.[Enric], Hodan, T.[Tomas], Vo, M.[Minh], Moreno-Noguer, F.[Francesc], Sweeney, C.[Chris], Newcombe, R.[Richard], Ma, L.[Lingni],
LISA: Learning Implicit Shape and Appearance of Hands,
CVPR22(20501-20511)
IEEE DOI 2210
Surface reconstruction, Solid modeling, Shape, Image color analysis, Pose estimation, Fitting, Face and gestures, Pose estimation and tracking BibRef

Park, J.K.[Joon-Kyu], Oh, Y.[Yeonguk], Moon, G.[Gyeongsik], Choi, H.[Hongsuk], Lee, K.M.[Kyoung Mu],
HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network,
CVPR22(1486-1495)
IEEE DOI 2210
Correlation, Codes, Face recognition, Estimation, Benchmark testing, 3D from single images, Face and gestures BibRef

Boutaleb, Y.[Yasser], Soladié, C.[Catherine], Duong, N.D.[Nam-Duong], Kacete, A.[Amine], Royan, J.[Jérôme], Seguier, R.[Renaud],
Metric Learning-Based Unsupervised Domain Adaptation for 3D Skeleton Hand Activities Categorization,
CIAP22(III:62-74).
Springer DOI 2205
BibRef

Chen, P.[Ping], Chen, Y.J.[Yu-Jin], Yang, D.[Dong], Wu, F.Y.[Fang-Yin], Li, Q.[Qin], Xia, Q.P.[Qing-Pei], Tan, Y.[Yong],
I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-fidelity 3D Hand Mesh Modeling,
ICCV21(12909-12918)
IEEE DOI 2203
Solid modeling, Shape, Estimation, Computer architecture, Color, Virtual reality, 3D from a single image and shape-from-x, Gestures and body pose BibRef

Zhang, X.[Xiong], Huang, H.S.[Hong-Sheng], Tan, J.C.[Jian-Chao], Xu, H.M.[Hong-Min], Yang, C.[Cheng], Peng, G.Z.[Guo-Zhu], Wang, L.[Lei], Liu, J.[Ji],
Hand Image Understanding via Deep Multi-Task Learning,
ICCV21(11261-11272)
IEEE DOI 2203
Measurement, Heating systems, Image segmentation, Pose estimation, Streaming media, Multitasking, Gestures and body pose, 3D from a single image and shape-from-x BibRef

Kim, D.U.[Dong Uk], Kim, K.I.[Kwang In], Baek, S.[Seungryul],
End-to-End Detection and Pose Estimation of Two Interacting Hands,
ICCV21(11169-11178)
IEEE DOI 2203
Knowledge engineering, Pose estimation, Gestures and body pose, 3D from a single image and shape-from-x BibRef

Yang, L.L.[Lin-Lin], Chen, S.C.[Shi-Cheng], Yao, A.[Angela],
SemiHand: Semi-supervised Hand Pose Estimation with Consistency,
ICCV21(11344-11353)
IEEE DOI 2203
Training, Pose estimation, Semantics, Training data, Gestures and body pose, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Zhao, Z.M.[Zi-Meng], Rao, R.T.[Ru-Ting], Wang, Y.G.[Yan-Gang],
SUPPLE: Extracting Hand Skeleton with Spherical Unwrapping Profiles,
3DV21(899-909)
IEEE DOI 2201
Point cloud compression, Network topology, Shape, Pose estimation, Feature extraction, Skeleton, Skeleton Embedding, Surface to Image Representation BibRef

Hasson, Y.[Yana], Varol, G.[Gül], Schmid, C.[Cordelia], Laptev, I.[Ivan],
Towards Unconstrained Joint Hand-Object Reconstruction From RGB Videos,
3DV21(659-668)
IEEE DOI 2201
Solid modeling, Pose estimation, Fitting, Supervised learning, Training data, Optimized production technology, hand, object, video, monocular BibRef

Fan, Z.C.[Zi-Cong], Spurr, A.[Adrian], Kocabas, M.[Muhammed], Tang, S.[Siyu], Black, M.J.[Michael J.], Hilliges, O.[Otmar],
Learning To Disambiguate Strongly Interacting Hands via Probabilistic Per-Pixel Part Segmentation,
3DV21(1-10)
IEEE DOI 2201
Visualization, Image segmentation, Solid modeling, Social networking (online), Pose estimation, Semantics BibRef

Karunratanakul, K.[Korrawe], Spurr, A.[Adrian], Fan, Z.C.[Zi-Cong], Hilliges, O.[Otmar], Tang, S.[Siyu],
A Skeleton-Driven Neural Occupancy Representation for Articulated Hands,
3DV21(11-21)
IEEE DOI 2201
Bridges, Neural networks, Skeleton, Task analysis, Hand Model, Grasp Generation, Implicit Function BibRef

Spurr, A., Song, J., Park, S., Hilliges, O.,
Cross-Modal Deep Variational Hand Pose Estimation,
CVPR18(89-98)
IEEE DOI 1812
Training, Pose estimation, Image reconstruction, Task analysis, Manifolds BibRef

Kaviani, S.[Samira], Rahimi, A.[Amir], Hartley, R.I.[Richard I.],
Semi-Supervised 3D Hand Shape and Pose Estimation with Label Propagation,
DICTA21(1-8)
IEEE DOI 2201
Training, Annotations, Shape, Digital images, Pose estimation, Linear programming BibRef

Gao, D.H.[Dai-Heng], Zhang, B.[Bang], Wang, Q.[Qi], Zhang, X.[Xindi], Pan, P.[Pan], Xu, Y.H.[Ying-Hui],
SCAT: Stride Consistency with Auto-regressive regressor and Transformer for hand pose estimation,
SoMoF21(2266-2275)
IEEE DOI 2112
Solid modeling, Visualization, Shape, Pose estimation, Kinematics, Transformers BibRef

Chen, X.Y.[Xing-Yu], Liu, Y.[Yufeng], Ma, C.Y.[Chong-Yang], Chang, J.L.[Jian-Long], Wang, H.[Huayan], Chen, T.[Tian], Guo, X.Y.[Xiao-Yan], Wan, P.F.[Peng-Fei], Zheng, W.[Wen],
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration,
CVPR21(13269-13278)
IEEE DOI 2111
Wrist, Codes, Semantics, Pipelines, Cameras BibRef

Liu, S.W.[Shao-Wei], Jiang, H.W.[Han-Wen], Xu, J.R.[Jia-Rui], Liu, S.F.[Si-Fei], Wang, X.L.[Xiao-Long],
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time,
CVPR21(14682-14692)
IEEE DOI 2111
Training, Annotations, Filtering, Pose estimation, Semisupervised learning BibRef

Stergioulas, A.[Andreas], Chatzis, T.[Theocharis], Konstantinidis, D.[Dimitrios], Dimitropoulos, K.[Kosmas], Daras, P.[Petros],
3D Hand Pose Estimation via aligned latent space injection and kinematic losses,
MULA21(1730-1739)
IEEE DOI 2109
Deep learning, Pose estimation, Lighting, Kinematics, Physiology BibRef

Lin, F.Q.[Fan-Qing], Martinez, T.[Tony],
Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation,
WACV24(4363-4371)
IEEE DOI 2404
Training, Visualization, Annotations, Statistical analysis, Pose estimation, Pipelines, Algorithms, Datasets and evaluations, body pose BibRef

Lin, F.Q.[Fan-Qing], Wilhelm, C.[Connor], Martinez, T.[Tony],
Two-hand Global 3D Pose Estimation using Monocular RGB,
WACV21(2372-2380)
IEEE DOI 2106
Training, Image segmentation, Pose estimation, Pipelines, Training data, Noise measurement BibRef

Sun, L.H.[Lin-Hui], Zhang, Y.F.[Yi-Fan], Cheng, J.[Jian], Lu, H.Q.[Han-Qing],
PEAN: 3D Hand Pose Estimation Adversarial Network,
ICPR21(1251-1258)
IEEE DOI 2105
Training, Solid modeling, Pose estimation, Kinematics, Predictive models BibRef

Hendri, P.[Pirdiansyah], Hsieh, J.W.[Jun-Wei], Chen, P.Y.[Ping-Yang], Gochoo, M., Chen, Y.S.[Yong-Sheng],
Deep Real-time Hand Detection Using CFPN on Embedded Systems,
ICPR21(10128-10133)
IEEE DOI 2105
Performance evaluation, Embedded systems, Computational modeling, Memory management, Object detection, Feature extraction, edge computing BibRef

Nguyen, X.S.[Xuan Son], Brun, L.[Luc], Lézoray, O.[Olivier], Bougleux, S.[Sébastien],
Learning Recurrent High-order Statistics for Skeleton-based Hand Gesture Recognition,
ICPR21(975-982)
IEEE DOI 2105
Recurrent neural networks, Computational modeling, Gesture recognition, Benchmark testing BibRef

Miwa, M.[Michio], Honda, K.[Kenji], Sato, M.[Makoto],
Image Defocus Analysis for Finger Detection on A Virtual Keyboard,
ICPR21(24-30)
IEEE DOI 2105
Optical filters, Image resolution, Fingers, Keyboards, Cameras, Optical imaging, virtual keyboard, splitting light by half mirror BibRef

Yang, S.Y.[Si-Yuan], Liu, J.[Jun], Lu, S.J.[Shi-Jian], Er, M.H.[Meng Hwa], Kot, A.C.[Alex C.],
Collaborative Learning of Gesture Recognition and 3d Hand Pose Estimation with Multi-order Feature Analysis,
ECCV20(III:769-786).
Springer DOI 2012
BibRef

Brahmbhatt, S.[Samarth], Tang, C.C.[Cheng-Cheng], Twigg, C.D.[Christopher D.], Kemp, C.C.[Charles C.], Hays, J.[James],
Contactpose: A Dataset of Grasps with Object Contact and Hand Pose,
ECCV20(XIII:361-378).
Springer DOI 2011
BibRef

Huang, L.[Lin], Tan, J.C.[Jian-Chao], Liu, J.[Ji], Yuan, J.S.[Jun-Song],
Hand-transformer: Non-autoregressive Structured Modeling for 3d Hand Pose Estimation,
ECCV20(XXV:17-33).
Springer DOI 2011
BibRef

Moon, G.[Gyeongsik], Shiratori, T.[Takaaki], Lee, K.M.[Kyoung Mu],
Deephandmesh: A Weakly-supervised Deep Encoder-decoder Framework for High-fidelity Hand Mesh Modeling,
ECCV20(II:440-455).
Springer DOI 2011
BibRef

Fan, Z.P.[Zhi-Peng], Liu, J.[Jun], Wang, Y.[Yao],
Adaptive Computationally Efficient Network for Monocular 3d Hand Pose Estimation,
ECCV20(IV:127-144).
Springer DOI 2011
BibRef

Hasson, Y., Tekin, B., Bogo, F., Laptev, I., Pollefeys, M., Schmid, C.,
Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction,
CVPR20(568-577)
IEEE DOI 2008
Image reconstruction, Pose estimation, Optical imaging, Optical variables control, Shape BibRef

Liu, J., Liu, Y., Wang, Y., Prinet, V., Xiang, S., Pan, C.,
Decoupled Representation Learning for Skeleton-Based Gesture Recognition,
CVPR20(5750-5759)
IEEE DOI 2008
Skeleton, Hidden Markov models, Gesture recognition, Solid modeling, Feature extraction, Machine learning BibRef

Hampali, S., Rad, M., Oberweger, M., Lepetit, V.,
HOnnotate: A Method for 3D Annotation of Hand and Object Poses,
CVPR20(3193-3203)
IEEE DOI 2008
Pose estimation, Solid modeling, Cameras, Sensors, Training BibRef

Cai, M., Lu, F., Sato, Y.,
Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation,
CVPR20(14380-14389)
IEEE DOI 2008
Adaptation models, Uncertainty, Bayes methods, Predictive models, Videos, Shape, Image segmentation BibRef

Baek, S., Kim, K.I., Kim, T.,
Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects,
CVPR20(6120-6130)
IEEE DOI 2008
Pose estimation, Feature extraction BibRef

Doosti, B., Naha, S., Mirbagheri, M., Crandall, D.J.,
HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation,
CVPR20(6607-6616)
IEEE DOI 2008
Convolution, Solid modeling, Pose estimation, Predictive models, Adaptive systems BibRef

Kong, D., Ma, H., Chen, Y., Xie, X.,
Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation,
WACV20(1535-1544)
IEEE DOI 2006
Graphical models, Pose estimation, Heating systems, Task analysis, Mathematical model BibRef

Chen, Y., Ma, H., Kong, D., Yan, X., Wu, J., Fan, W., Xie, X.,
Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation,
WACV20(370-379)
IEEE DOI 2006
Pose estimation, Probabilistic logic, Solid modeling BibRef

Narasimhaswamy, S., Wei, Z., Wang, Y., Zhang, J., Nguyen, M.H.,
Contextual Attention for Hand Detection in the Wild,
ICCV19(9566-9575)
IEEE DOI 2004
Code, Hand Detection.
WWW Link. convolutional neural nets, gesture recognition, object detection, unconstrained images, Hand-CNN, attention mechanism, Object detection BibRef

Chen, Y., Tu, Z., Ge, L., Zhang, D., Chen, R., Yuan, J.,
SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning,
ICCV19(6960-6969)
IEEE DOI 2004
feature extraction, learning (artificial intelligence), pose estimation, self-organising feature maps, HFE, HFD, Decoding BibRef

Yang, L., Li, S., Lee, D., Yao, A.,
Aligning Latent Spaces for 3D Hand Pose Estimation,
ICCV19(2335-2343)
IEEE DOI 2004
feature extraction, gesture recognition, image colour analysis, image motion analysis, learning (artificial intelligence), Task analysis BibRef

Yuan, S., Stenger, B., Kim, T.,
3D Hand Pose Estimation from RGB Using Privileged Learning with Depth Data,
Hands19(2866-2873)
IEEE DOI 2004
feature extraction, image colour analysis, image segmentation, learning (artificial intelligence), pose estimation, depth data, privileged learning BibRef

LI, Y., Twigg, C., Ye, Y., Tao, L., Wang, X.,
Disentangling Pose from Appearance in Monochrome Hand Images,
Hands19(2846-2855)
IEEE DOI 2004
feature extraction, image sampling, learning (artificial intelligence), neural nets, pose estimation, Generative Model BibRef

Chen, X.Y.[Xing-Yu], Liu, Y.F.[Yu-Feng], Dong, Y.[Yajiao], Zhang, X.[Xiong], Ma, C.Y.[Chong-Yang], Xiong, Y.M.[Yan-Min], Zhang, Y.[Yuan], Guo, X.Y.[Xiao-Yan],
MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image,
CVPR22(20512-20522)
IEEE DOI 2210
Heating systems, Spirals, Face recognition, Semantics, Pose estimation, Coherence, Face and gestures, Pose estimation and tracking BibRef

Zhang, X.[Xiong], Li, Q.[Qiang], Mo, H.[Hong], Zhang, W.B.[Wen-Bo], Zheng, W.[Wen],
End-to-End Hand Mesh Recovery From a Monocular RGB Image,
ICCV19(2354-2364)
IEEE DOI 2004
feature extraction, gesture recognition, image colour analysis, image reconstruction, image segmentation, image sensors, Solid modeling BibRef

Mishra, P., Sarawadekar, K.,
Fingertips Detection in Egocentric Video Frames using Deep Neural Networks,
IVCNZ19(1-6)
IEEE DOI 2004
augmented reality, cameras, convolutional neural nets, gesture recognition, graphics processing units, Multi-gesture BibRef

Yang, L.L.[Lin-Lin], Yao, A.[Angela],
Disentangling Latent Hands for Image Synthesis and Pose Estimation,
CVPR19(9869-9878).
IEEE DOI 2002
BibRef

Baek, S.[Seungryul], Kim, K.I.[Kwang In], Kim, T.K.[Tae-Kyun],
Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering,
CVPR19(1067-1076).
IEEE DOI 2002
BibRef

Xiang, D.L.[Dong-Lai], Joo, H.[Hanbyul], Sheikh, Y.[Yaser],
Monocular Total Capture: Posing Face, Body, and Hands in the Wild,
CVPR19(10957-10966).
IEEE DOI 2002
BibRef

Du, K.[Kuo], Lin, X.B.[Xiang-Bo], Sun, Y.[Yi], Ma, X.H.[Xiao-Hong],
CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation,
CVPR19(9888-9897).
IEEE DOI 2002
BibRef

Boukhayma, A.[Adnane], de Bem, R.[Rodrigo], Torr, P.H.S.[Philip H.S.],
3D Hand Shape and Pose From Images in the Wild,
CVPR19(10835-10844).
IEEE DOI 2002
BibRef

Wan, C.D.[Cheng-De], Probst, T.[Thomas], Van Gool, L.J.[Luc J.], Yao, A.[Angela],
Self-Supervised 3D Hand Pose Estimation Through Training by Fitting,
CVPR19(10845-10854).
IEEE DOI 2002
BibRef

Li, S.L.[Shi-Le], Lee, D.H.[Dong-Heui],
Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer,
CVPR19(11919-11928).
IEEE DOI 2002
BibRef

Cruz, S.R.[Sergio R.], Chan, A.B.[Antoni B.],
Hand Detection Using Zoomed Neural Networks,
CIAP19(II:114-124).
Springer DOI 1909
BibRef

Myanganbayar, B.[Battushig], Mata, C.[Cristina], Dekel, G.[Gil], Katz, B.[Boris], Ben-Yosef, G.[Guy], Barbu, A.[Andrei],
Partially Occluded Hands: A Challenging New Dataset for Single-Image Hand Pose Estimation,
ACCV18(V:85-98).
Springer DOI 1906
Dataset, Hand Pose.
WWW Link. BibRef

Ting, P.W.[Pai-Wen], Chou, E.T.[En-Te], Tang, Y.H.[Ya-Hui], Fu, L.C.[Li-Chen],
Hand Pose Estimation Based on 3D Residual Network with Data Padding and Skeleton Steadying,
ACCV18(V:293-307).
Springer DOI 1906
BibRef

Duan, L.[Le], Shen, M.M.[Min-Min], Cui, S.[Song], Guo, Z.X.[Zhe-Xiao], Deussen, O.[Oliver],
Estimating 2D Multi-hand Poses from Single Depth Images,
Hands18(VI:257-272).
Springer DOI 1905
BibRef

Baulig, G.[Gerald], Gulde, T.[Thomas], Curio, C.[Cristóbal],
Adapting Egocentric Visual Hand Pose Estimation Towards a Robot-Controlled Exoskeleton,
Hands18(VI:241-256).
Springer DOI 1905
BibRef

Ma, W.K., Lewis, J.P., Frean, M., Balduzzi, D.,
Back To RGB: Deep articulated hand pose estimation from a single camera image,
IVCNZ17(1-6)
IEEE DOI 1902
cameras, image colour analysis, image sensors, interactive devices, pose estimation, human hand, RGB-D images, depth map, Training data BibRef

Che, Y., Qi, Y.,
Dynamic Projected Segmentation Networks For Hand Pose Estimation,
ICPR18(477-482)
IEEE DOI 1812
gesture recognition, human computer interaction, image classification, image segmentation, deep learning BibRef

Dibra, E., Melchior, S., Balkis, A., Wolf, T., Öztireli, C., Gross, M.,
Monocular RGB Hand Pose Inference from Unsupervised Refinable Nets,
HumanPose18(1188-118810)
IEEE DOI 1812
Pose estimation, Image segmentation, Training, Task analysis, Kinematics BibRef

Khan, A.U., Borji, A.,
Analysis of Hand Segmentation in the Wild,
CVPR18(4710-4719)
IEEE DOI 1812
Videos, Cameras, Image segmentation, Activity recognition, Motion segmentation BibRef

Wu, X.K.[Xiao-Kun], Finnegan, D.[Daniel], O'Neill, E.[Eamonn], Yang, Y.L.[Yong-Liang],
HandMap: Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision,
ECCV18(XVI: 246-262).
Springer DOI 1810
BibRef

Spurr, A.[Adrian], Dahiya, A.[Aneesh], Wang, X.[Xi], Zhang, X.[Xucong], Hilliges, O.[Otmar],
Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning,
ICCV21(11210-11219)
IEEE DOI 2203
Representation learning, Solid modeling, Image color analysis, Pose estimation, Jitter, Data models, Gestures and body pose, BibRef

Spurr, A.[Adrian], Iqbal, U.[Umar], Molchanov, P.[Pavlo], Hilliges, O.[Otmar], Kautz, J.[Jan],
Weakly Supervised 3d Hand Pose Estimation via Biomechanical Constraints,
ECCV20(XVII:211-228).
Springer DOI 2011
BibRef

Iqbal, U.[Umar], Molchanov, P.[Pavlo], Breuel, T.[Thomas], Gall, J.[Juergen], Kautz, J.[Jan],
Hand Pose Estimation via Latent 2.5D Heatmap Regression,
ECCV18(XI: 125-143).
Springer DOI 1810
BibRef

Liu, B., Huang, S., Ye, Z.,
Networks Effectively Utilizing 2D Spatial Information for Accurate 3D Hand Pose Estimation,
ICIP18(574-578)
IEEE DOI 1809
Pose estimation, Heating systems, Feature extraction, spatial attention mechanism BibRef

Lin, Y., Chai, X., Chen, X.,
Kinematic Constrained Cascaded Autoencoder for Real-Time Hand Pose Estimation,
FG18(45-51)
IEEE DOI 1806
Feature extraction, Kinematics, Learning systems, Optimization, Pose estimation, Task analysis, hand BibRef

Fernández, D.N.[Dennis Núñez], Kwolek, B.[Bogdan],
Hand Posture Recognition Using Convolutional Neural Network,
CIARP17(441-449).
Springer DOI 1802
BibRef

Choi, C., Yoon, S.H., Chen, C.N., Ramani, K.,
Robust Hand Pose Estimation during the Interaction with an Unknown Object,
ICCV17(3142-3151)
IEEE DOI 1802
feature extraction, groupware, image classification, learning (artificial intelligence), neural nets, pose estimation, BibRef

Yuan, S., Ye, Q., Stenger, B., Jain, S., Kim, T.K.,
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis,
CVPR17(2605-2613)
IEEE DOI 1711
Benchmark testing, Electronics packaging, Joints, Magnetic sensors, Manuals, Shape BibRef

Fujita, D.[Dai], Komuro, T.[Takashi],
3D Pose Estimation of a Front-Pointing Hand Using a Random Regression Forest,
HCICV16(III: 197-211).
Springer DOI 1704
BibRef

Yang, H.W.[Hong-Wei], Zhang, J.[Juyong],
Hand Pose Regression via a Classification-Guided Approach,
ACCV16(III: 452-466).
Springer DOI 1704
BibRef

Matilainen, M., Sangi, P., Holappa, J., Silvén, O.,
OUHANDS database for hand detection and pose recognition,
IPTA16(1-5)
IEEE DOI 1703
image classification BibRef

Moreno, D., Hwang, W.Y., Taubin, G.,
Rapid Hand Shape Reconstruction with Chebyshev Phase Shifting,
3DV16(157-165)
IEEE DOI 1701
image colour analysis BibRef

Bae, S.J.[Su-Jung], Yoo, J.[Jaehyeon], Jeong, M.[Moonsik], Savin, V.[Vladimir],
Practical Hand Skeleton Estimation Method Based on Monocular Camera,
ISVC16(II: 390-398).
Springer DOI 1701
BibRef

Tan, D.J., Cashman, T., Taylor, J., Fitzgibbon, A., Tarlow, D., Khamis, S., Izadi, S., Shotton, J.,
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization,
CVPR16(5610-5619)
IEEE DOI 1612
BibRef

Ye, Q.[Qi], Kim, T.K.[Tae-Kyun],
Occlusion-Aware Hand Pose Estimation Using Hierarchical Mixture Density Network,
ECCV18(X: 817-834).
Springer DOI 1810
BibRef

Ye, Q.[Qi], Yuan, S.X.[Shan-Xin], Kim, T.K.[Tae-Kyun],
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation,
ECCV16(VIII: 346-361).
Springer DOI 1611
BibRef

Wan, C.D.[Cheng-De], Probst, T., Van Gool, L.J.[Luc J.], Yao, A.[Angela],
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation,
CVPR17(1196-1205)
IEEE DOI 1711
BibRef
Earlier: A1, A4, A3, Only:
Hand Pose Estimation from Local Surface Normals,
ECCV16(III: 554-569).
Springer DOI 1611
Generators, Pose estimation, Training BibRef

Sangi, P.[Pekka], Matilainen, M.[Matti], Silvén, O.[Olli],
Rotation Tolerant Hand Pose Recognition Using Aggregation of Gradient Orientations,
ICIAR16(257-267).
Springer DOI 1608
BibRef

Hernandez-Belmonte, U.H.[Uriel H.], Ayala-Ramirez, V.[Victor],
Feature Selection Using Genetic Algorithms for Hand Posture Recognition,
MCPR16(208-218).
Springer DOI 1608
BibRef

Li, P., Ling, H., Li, X., Liao, C.,
3D Hand Pose Estimation Using Randomized Decision Forest with Segmentation Index Points,
ICCV15(819-827)
IEEE DOI 1602
Indexes BibRef

Sinha, A., Choi, C., Ramani, K.,
DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features,
CVPR16(4150-4158)
IEEE DOI 1612
BibRef

Choi, C., Sinha, A., Choi, J.H., Jang, S., Ramani, K.,
A Collaborative Filtering Approach to Real-Time Hand Pose Estimation,
ICCV15(2336-2344)
IEEE DOI 1602
Cameras BibRef

Oberweger, M., Lepetit, V.,
DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation,
Hands17(585-594)
IEEE DOI 1802
Agriculture, Kinematics, Pose estimation, Principal component analysis, Sensors, Training BibRef

Carley, C., Tomasi, C.,
Single-Frame Indexing for 3D Hand Pose Estimation,
ACVR15(493-501)
IEEE DOI 1602
Indexes; Joints; Kinematics; Tracking; Wrist BibRef

Poier, G.[Georg], Roditakis, K.[Konstantinos], Schulter, S.[Samuel], Michel, D.[Damien], Bischof, H.[Horst], Argyros, A.A.[Antonis A.],
Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties,
BMVC15(xx-yy).
DOI Link 1601
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Kang, B.[Byeongkeun], Lee, Y.[Yeejin], Nguyen, T.Q.[Truong Q.],
Efficient Hand Articulations Tracking Using Adaptive Hand Model and Depth Map,
ISVC15(I: 586-598).
Springer DOI 1601
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Wang, J.Y.[Jing-Ya], Payandeh, S.[Shahram],
A Study of Hand Motion/Posture Recognition in Two-Camera Views,
ISVC15(II: 314-323).
Springer DOI 1601
BibRef

Sun, X.[Xiao], Wei, Y.C.[Yi-Chen], Liang, S.[Shuang], Tang, X.[Xiaoou], Sun, J.[Jian],
Cascaded hand pose regression,
CVPR15(824-832)
IEEE DOI 1510
BibRef

Nguyen, V.T.[Van-Toi], Le, T.L.[Thi-Lan], Tran, T.H., Mullot, R., Courboulay, V.,
A new hand representation based on kernels for hand posture recognition,
FG15(1-6)
IEEE DOI 1508
computer vision BibRef

Yamashita, T.[Takayoshi], Watasue, T.[Taro],
Hand posture recognition based on bottom-up structured deep convolutional neural network with curriculum learning,
ICIP14(853-857)
IEEE DOI 1502
Clutter BibRef

Zhao, Y.G.[Yan-Guo], Song, Z.[Zhan],
Hand posture recognition using approximate vanishing ideal generators,
ICIP14(1525-1529)
IEEE DOI 1502
Algorithm design and analysis BibRef

Cha, Y.W.[Young-Woon], Lim, H.[Hwasup], Sung, M.H.[Min-Hyuk], Ahn, S.C.[Sang Chul],
Depth Data-Driven Real-Time Articulated Hand Pose Recognition,
ISVC14(II: 492-501).
Springer DOI 1501
BibRef

Kondori, F.A.[Farid Abedan], Yousefit, S.[Shahrouz], Ostovar, A.[Ahmad], Liu, L.[Li], Li, H.B.[Hai-Bo],
A Direct Method for 3D Hand Pose Recovery,
ICPR14(345-350)
IEEE DOI 1412
Equations BibRef

Krupka, E.[Eyal], Vinnikov, A.[Alon], Klein, B.[Ben], Bar Hillel, A.[Aharon], Freedman, D.[Daniel], Stachniak, S.[Simon],
Discriminative Ferns Ensemble for Hand Pose Recognition,
CVPR14(3670-3677)
IEEE DOI 1409
Visual object recognition BibRef

Kawulok, M.[Michal], Nalepa, J.[Jakub],
Hand pose estimation using support vector machines with evolutionary training,
WSSIP14(87-90) 1406
BibRef
Earlier:
Support Vector Machines Training Data Selection Using a Genetic Algorithm,
SSSPR12(557-565).
Springer DOI 1211
Context BibRef

Wong, C.Y., Lin, S.C.F., Jiang, G., Kwok, N.M.,
Finger identification using hand boundary decomposition,
IVCNZ13(346-351)
IEEE DOI 1402
Fourier transforms BibRef

Zhu, X.L.[Xiao-Long], Sang, R.X.[Ruo-Xin], Jia, X.H.[Xu-Hui], Wong, K.Y.K.,
A hand shape recognizer from simple sketches,
IVCNZ13(130-135)
IEEE DOI 1402
human computer interaction BibRef

Tang, D.H.[Dan-Hang], Yu, T.H.[Tsz-Ho], Kim, T.K.[Tae-Kyun],
Real-Time Articulated Hand Pose Estimation Using Semi-supervised Transductive Regression Forests,
ICCV13(3224-3231)
IEEE DOI 1403
BibRef

Funatomi, T., Yamane, T., Ouchida, H., Iiyama, M., Minoh, M.,
Deriving Motion Constraints in Finger Joints of Individualized Hand Model for Manipulation by Data Glove,
3DV13(95-102)
IEEE DOI 1311
data gloves BibRef

Ahmad, O.R.[Omer Rashid], Al-Hamadi, A.[Ayoub],
A New Approach for Hand Augmentation Based on Patch Modelling,
ACIVS13(162-171).
Springer DOI 1311

See also Robust Stereoscopic Head Pose Estimation in Human-Computer Interaction and a Unified Evaluation Framework. BibRef

Tzionas, D.[Dimitrios], Gall, J.[Juergen],
A Comparison of Directional Distances for Hand Pose Estimation,
GCPR13(131-141).
Springer DOI 1311
BibRef

Zaliva, V.,
3D finger posture detection and gesture recognition on touch surfaces,
ICARCV12(359-364).
IEEE DOI 1304
BibRef

Wang, H.J.[Han-Jie], Wang, Q.[Qi], Chen, X.L.[Xi-Lin],
Hand Posture Recognition from Disparity Cost Map,
ACCV12(II:722-733).
Springer DOI 1304
BibRef

Lee, C.S.[Chan-Su], Chun, S.Y.[Sung Yong], Park, S.W.[Shin Won],
Articulated hand configuration and rotation estimation using extended torus manifold embedding,
ICPR12(441-444).
WWW Link. 1302
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Miyamoto, S.[Sho], Matsuo, T.[Tadashi], Shimada, N.[Nobutaka], Shirai, Y.[Yoshiaki],
Real-time and precise 3-D hand posture estimation based on classification tree trained with variations of appearances,
ICPR12(453-456).
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Liu, L.W.[Li-Wei], Xing, J.L.[Jun-Liang], Ai, H.Z.[Hai-Zhou], Ruan, X.[Xiang],
Hand posture recognition using finger geometric feature,
ICPR12(565-568).
WWW Link. 1302
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Pólrola, M.[Mateusz], Wojciechowski, A.[Adam],
Real-Time Hand Pose Estimation Using Classifiers,
ICCVG12(573-580).
Springer DOI 1210
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Boughnim, N.[Nabil], Marot, J.[Julien], Fossati, C.[Caroline], Bourennane, S.[Salah],
Hand Posture Classification by Means of a New Contour Signature,
ACIVS12(384-394).
Springer DOI 1209
BibRef

Collumeau, J.F.[Jean-François], Laurent, H.[Hélène], Emile, B.[Bruno], Leconge, R.[Rémy],
Hand Posture Recognition with Multiview Descriptors,
ACIVS12(455-466).
Springer DOI 1209
BibRef

Keskin, C.[Cem], Kiraç, F.[Furkan], Kara, Y.E.[Yunus Emre], Akarun, L.[Lale],
Hand Pose Estimation and Hand Shape Classification Using Multi-layered Randomized Decision Forests,
ECCV12(VI: 852-863).
Springer DOI 1210
BibRef
And:
Randomized decision forests for static and dynamic hand shape classification,
Gesture12(31-36).
IEEE DOI 1207
BibRef

Guo, J.M.[Jing-Ming], Liu, Y.F.[Yun-Fu], Chu, M.H.[Mei-Hui], Wu, C.C.[Chia-Chu], Le, T.N.[Thanh-Nam],
Contact-free hand geometry identification system,
ICIP11(3185-3188).
IEEE DOI 1201
BibRef

Choi, J.Y.[Jun-Yeong], Park, H.[Hanhoon], Park, J.I.[Jong-Il],
Hand shape recognition using distance transform and shape decomposition,
ICIP11(3605-3608).
IEEE DOI 1201
BibRef

Chuang, Y.L.[Yue-Long], Chen, L.[Ling], Chen, G.[Gencai],
Hierarchical bag-of-features for hand posture recognition,
ICIP11(1777-1780).
IEEE DOI 1201
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Xie, S.P.[Shi-Peng], Pan, J.[Jing],
Hand Detection Using Robust Color Correction and Gaussian Mixture Model,
ICIG11(553-557).
IEEE DOI 1109
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Mestetskiy, L.[Leonid], Bakina, I.[Irina], Kurakin, A.[Alexey],
Hand Geometry Analysis by Continuous Skeletons,
ICIAR11(II: 130-139).
Springer DOI 1106
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Petersen, N.[Nils], Stricker, D.[Didier],
Fast Hand Detection Using Posture Invariant Constraints,
KI09(106-113).
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Cui, Y.[Yan], Hidenbrand, D.[Dietmar],
Pose Estimation Based on Geometric Algebra,
GraVisMa09(xx-yy).
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Farouk, M.[Mohamed], Sutherland, A.[Alistair], Shoukry, A.A.,
A Multistage Hierarchical Algorithm for Hand Shape Recognition,
IMVIP09(105-110).
IEEE DOI 0909
BibRef

Fang, Y.K.[Yi-Kai], Cheng, J.[Jian], Wang, J.Q.[Jin-Qiao], Wang, K.Q.[Kong-Qiao], Liu, J.[Jing], Lu, H.Q.[Han-Qing],
Hand posture recognition with co-training,
ICPR08(1-4).
IEEE DOI 0812
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Belaroussi, R.[Rachid], Milgram, M.[Maurice],
A Real Time Fingers Detection by Symmetry Transform Using a Two Cameras System,
ISVC08(II: 703-712).
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See also Real-Time Road Sign Detection Using Bilateral Chinese Transform, A. BibRef

Amayeh, G.[Gholamreza], Bebis, G.N.[George N.], Nicolescu, M.[Mircea],
Gender classification from hand shape,
Biometrics08(1-7).
IEEE DOI 0806
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Schreer, O.[Oliver], Ngongang, S.[Seinghor],
Vision-based hand shape estimation is a challenging,
CIAP07(253-258).
IEEE DOI 0709
BibRef

Su, C.L.[Ching-Liang],
Hand Shape Recognition by Hand Shape Scaling, Weight Magnifying and Finger Geometry Comparison,
MIRAGE07(516-524).
Springer DOI 0703
BibRef

Du, H.[Huan], Charbon, E.[Edoardo],
3D Hand Model Fitting for Virtual Keyboard System,
WACV07(31-31).
IEEE DOI 0702
BibRef

Parag, T., Elgammal, A.M.,
Unsupervised Learning of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition,
BMVC06(III:1259).
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Guan, H.Y.[Hai-Ying], Turk, M.A.[Matthew A.],
The Hierarchical Isometric Self-Organizing Map for Manifold Representation,
ComponentAnalysis07(1-8).
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Guan, H.Y.[Hai-Ying], Chang, J.S.[Jae Sik], Chen, L.B.[Long-Bin], Feris, R.S.[Rogerio S.], Turk, M.A.[Matthew A.],
Multi-view Appearance-based 3D Hand Pose Estimation,
V4HCI06(154).
IEEE DOI 0609
BibRef

Neff, M.[Michael], Seidel, H.P.[Hans-Peter],
Modeling Relaxed Hand Shape for Character Animation,
AMDO06(262-270).
Springer DOI 0607
BibRef

Stenger, B.D.R.[Björn D.R.],
Template-Based Hand Pose Recognition Using Multiple Cues,
ACCV06(II:551-560).
Springer DOI 0601

See also Model-Based Hand Tracking Using a Hierarchical Bayesian Filter. BibRef

Guan, H.Y.[Hai-Ying], Feris, R.S.[Rogerio S.], Turk, M.A.[Matthew A.],
The Isometric Self-Organizing Map for 3D Hand Pose Estimation,
FGR06(263-268).
IEEE DOI 0604
BibRef

Faundez-Zanuy, M.[Marcos], Ferrer-Ballester, M.A.[Miguel A.], Travieso-González, C.M.[Carlos M.], Espinosa-Duro, V.[Virginia],
Hand Geometry Based Recognition with a MLP Classifier,
ICB06(721-727).
Springer DOI 0601
BibRef

Tian, T.P.[Tai-Peng], Li, R.[Rui], Sclaroff, S.,
Articulated Pose Estimation in a Learned Smooth Space of Feasible Solutions,
LCV05(III: 50-50).
IEEE DOI 0507
BibRef

Ong, E.J.[Eng-Jon], Bowden, R.[Richard],
A boosted classifier tree for hand shape detection,
AFGR04(889-894).
IEEE DOI 0411
BibRef

Imai, A., Shimada, N., Shirai, Y.,
3-D hand posture recognition by training contour variation,
AFGR04(895-900).
IEEE DOI 0411
BibRef

Ma, Y.L.[Ying-Liang], Pollick, F., Hewitt, W.T.,
Using B-spline curves for hand recognition,
ICPR04(III: 274-277).
IEEE DOI 0409
BibRef

Deng, J.W.[Jiang-Wen], Tsui, H.T.,
A Novel Two-Layer PCA/MDA Scheme for Hand Posture Recognition,
ICPR02(I: 283-286).
IEEE DOI 0211
BibRef
Earlier:
A PCA/MDA scheme for hand posture recognition,
AFGR02(279-284).
IEEE DOI 0206
BibRef

Chang, C.C.[Chin-Chen], Chen, I-Y., Huang, Y.S.[Yea-Shuan],
Hand pose recognition using curvature scale space,
ICPR02(II: 386-389).
IEEE DOI 0211
BibRef

Zhu, X.J.[Xiao-Jin], Yang, J.[Jie], Waibel, A.[Alex],
Segmenting Hands of Arbitrary Color,
AFGR00(446-453).
IEEE DOI 0003
BibRef

Sanchez-Reillo, R.,
Hand Geometry Pattern Recognition Through Gaussian Mixture Modelling,
ICPR00(Vol II: 937-940).
IEEE DOI 0009
BibRef

Nölker, C.[Claudia], Ritter, H.[Helge],
GREFIT: Visual Recognition of Hand Postures,
GW99(61).
Springer DOI 9903
BibRef

Grobel, K., Hienz, H.,
Video-Based Handshape Recognition Using a Handshape Structure Model in Real Time,
ICPR96(III: 446-450).
IEEE DOI 9608
(Aachen Univ. of Technology, D) BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Hand Reconstruction, Hand Synthesis, Hand Generation, Hand Animation .

Last update:Nov 26, 2024 at 16:40:19