An Efficient 3D Human Pose Retrieval and Reconstruction from 2D Image-Based Landmarks
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[1] Hans-Peter Seidel,et al. A data-driven approach for real-time full body pose reconstruction from a depth camera , 2011, 2011 International Conference on Computer Vision.
[2] Youjie Zhou,et al. Pose Locality Constrained Representation for 3D Human Pose Reconstruction , 2014, ECCV.
[3] Deva Ramanan,et al. 3D Human Pose Estimation = 2D Pose Estimation + Matching , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Lourdes Agapito,et al. Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Pascal Fua,et al. Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[6] Antoni B. Chan,et al. 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network , 2014, ACCV.
[7] Cristian Sminchisescu,et al. Fast algorithms for large scale conditional 3D prediction , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Cristian Sminchisescu,et al. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Antoni B. Chan,et al. Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[10] Juergen Gall,et al. A Dual-Source Approach for 3D Human Pose Estimation from a Single Image , 2017, Comput. Vis. Image Underst..
[11] Cordelia Schmid,et al. MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild , 2016, NIPS.
[12] Hubert P. H. Shum,et al. Real-time physical modelling of character movements with microsoft kinect , 2012, VRST '12.
[13] Bodo Rosenhahn,et al. Posebits for Monocular Human Pose Estimation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Hubert P. H. Shum,et al. Posture reconstruction using Kinect with a probabilistic model , 2014, VRST '14.
[15] Yi Yang,et al. Articulated pose estimation with flexible mixtures-of-parts , 2011, CVPR 2011.
[16] Juergen Gall,et al. A Dual-Source Approach for 3D Pose Estimation from a Single Image , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Andreas Weber,et al. Keys for Action: An Efficient Keyframe-Based Approach for 3D Action Recognition Using a Deep Neural Network , 2020, Sensors.
[18] Hans-Peter Seidel,et al. VNect , 2017 .
[19] Yaser Sheikh,et al. Three-dimensional proxies for hand-drawn characters , 2012, TOGS.
[20] C. Lawrence Zitnick,et al. Zero-Shot Learning via Visual Abstraction , 2014, ECCV.
[21] Cristian Sminchisescu,et al. Discriminative density propagation for 3D human motion estimation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[22] T. Kanade,et al. Reconstructing 3D Human Pose from 2D Image Landmarks , 2012, ECCV.
[23] J. LaFountain. Inc. , 2013, American Art.
[24] Ilya Kostrikov,et al. Depth Sweep Regression Forests for Estimating 3D Human Pose from Images , 2014, BMVC.
[25] Michael J. Black,et al. Detailed Human Shape and Pose from Images , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Andrew W. Fitzgibbon,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.
[27] Hans-Peter Seidel,et al. Outdoor human motion capture using inverse kinematics and von mises-fisher sampling , 2011, 2011 International Conference on Computer Vision.
[28] Yichen Wei,et al. Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[29] Tido Röder,et al. Documentation Mocap Database HDM05 , 2007 .
[30] Jitendra Malik,et al. Recovering 3D human body configurations using shape contexts , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Ramesh Raskar,et al. Prakash: lighting aware motion capture using photosensing markers and multiplexed illuminators , 2007, ACM Trans. Graph..
[32] Francesc Moreno-Noguer,et al. A Joint Model for 2D and 3D Pose Estimation from a Single Image , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Francesc Moreno-Noguer,et al. Single image 3D human pose estimation from noisy observations , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[35] Jessica K. Hodgins,et al. Performance animation from low-dimensional control signals , 2005, SIGGRAPH 2005.
[36] Cristian Sminchisescu,et al. Twin Gaussian Processes for Structured Prediction , 2010, International Journal of Computer Vision.
[37] Xiaogang Wang,et al. 3D Human Pose Estimation in the Wild by Adversarial Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[38] Wen Gao,et al. Robust Estimation of 3D Human Poses from a Single Image , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Xiaowei Zhou,et al. Ordinal Depth Supervision for 3D Human Pose Estimation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[40] K N An,et al. Application of a magnetic tracking device to kinesiologic studies. , 1988, Journal of biomechanics.
[41] Tae-Kyun Kim,et al. Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[42] Hans-Peter Seidel,et al. Motion reconstruction using sparse accelerometer data , 2011, TOGS.
[43] Towards Locality Similarity Preserving to 3D Human Pose Estimation , 2020, ACCV Workshops.
[44] Pavel Zezula,et al. Effective and efficient similarity searching in motion capture data , 2017, Multimedia Tools and Applications.
[45] Saurabh Sharma,et al. Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[46] Hashim Yasin,et al. Towards Efficient 3D Pose Retrieval and Reconstruction from 2D Landmarks , 2017, 2017 IEEE International Symposium on Multimedia (ISM).
[47] Ramesh Raskar,et al. Prakash: lighting aware motion capture using photosensing markers and multiplexed illuminators , 2007, SIGGRAPH 2007.
[48] Ankur Agarwal,et al. Recovering 3D human pose from monocular images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] Jinxiang Chai,et al. Modeling 3D human poses from uncalibrated monocular images , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[50] Yan Chen,et al. Generalizing Monocular 3D Human Pose Estimation in the Wild , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[51] Dario Pavllo,et al. 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Arno Zinke,et al. Fast local and global similarity searches in large motion capture databases , 2010, SCA '10.
[53] Yen-Lin Chen,et al. 3D Reconstruction of Human Motion and Skeleton from Uncalibrated Monocular Video , 2009, ACCV.
[54] Deva Ramanan,et al. Learning to parse images of articulated bodies , 2006, NIPS.
[55] Hans-Peter Seidel,et al. VNect , 2017, ACM Trans. Graph..
[56] Björn Krüger,et al. Model based full body human motion reconstruction from video data , 2013, MIRAGE '13.
[57] Simon Lucey,et al. Deterministic 3D Human Pose Estimation Using Rigid Structure , 2010, ECCV.
[58] Kun Zhou,et al. FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information , 2018, ArXiv.
[59] Leif Kobbelt,et al. Character animation from 2D pictures and 3D motion data , 2007, TOGS.
[60] Michael J. Black,et al. Pose-conditioned joint angle limits for 3D human pose reconstruction , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).