Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution
暂无分享,去创建一个
[1] Thomas P Andriacchi,et al. The evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications , 2006, Journal of NeuroEngineering and Rehabilitation.
[2] Bernt Schiele,et al. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Silvia Conforto,et al. Markerless Human Motion Analysis in Gauss–Laguerre Transform Domain: An Application to Sit-To-Stand in Young and Elderly People , 2009, IEEE Transactions on Information Technology in Biomedicine.
[4] Plamen Angelov,et al. A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition , 2017 .
[5] Vishal M. Patel,et al. Large Margin Multi-Modal Triplet Metric Learning , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[6] Vishal M. Patel,et al. Generative adversarial network-based synthesis of visible faces from polarimetrie thermal faces , 2017, 2017 IEEE International Joint Conference on Biometrics (IJCB).
[7] Michael Arens,et al. Human pose estimation with implicit shape models , 2010, ARTEMIS '10.
[8] 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).
[9] Yu Yang,et al. PIEFA: Personalized Incremental and Ensemble Face Alignment , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[10] Jonathan Tompson,et al. Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] G. David. Ergonomic methods for assessing exposure to risk factors for work-related musculoskeletal disorders. , 2005, Occupational medicine.
[12] Dimitris N. Metaxas,et al. Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[13] 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).
[14] Idsart Kingma,et al. Inter-rater reliability of a video-analysis method measuring low-back load in a field situation. , 2013, Applied ergonomics.
[15] Emiliano Gambaretto,et al. Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation , 2010, International Journal of Computer Vision.
[16] Deva Ramanan,et al. 3D Human Pose Estimation = 2D Pose Estimation + Matching , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Ahmed M. Elgammal,et al. From circle to 3-sphere: Head pose estimation by instance parameterization , 2015, Comput. Vis. Image Underst..
[18] Antoni B. Chan,et al. A Robust Likelihood Function for 3D Human Pose Tracking , 2014, IEEE Transactions on Image Processing.
[19] Wen Gao,et al. Robust Estimation of 3D Human Poses from a Single Image , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Nojun Kwak,et al. 3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information , 2016, ECCV Workshops.
[21] Mohammed Bennamoun,et al. A Gaussian Process Guided Particle Filter for Tracking 3D Human Pose in Video , 2013, IEEE Transactions on Image Processing.
[22] Michael J. Black,et al. HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion , 2010, International Journal of Computer Vision.
[23] S M Hsiang,et al. Video based lifting technique coding system. , 1998, Ergonomics.
[24] Cordelia Schmid,et al. MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild , 2016, NIPS.
[25] 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).
[26] Xiaowei Zhou,et al. Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Vishal M. Patel,et al. Image De-Raining Using a Conditional Generative Adversarial Network , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[28] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[29] Varun Ramakrishna,et al. Convolutional Pose Machines , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Jia Deng,et al. Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.
[31] Dawei Li,et al. DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices , 2017, AAAI.
[32] Vladimir Pavlovic,et al. Using a marker-less method for estimating L5/S1 moments during symmetrical lifting. , 2017, Applied ergonomics.
[33] Rogério Schmidt Feris,et al. A Recurrent Encoder-Decoder Network for Sequential Face Alignment , 2016, ECCV.
[34] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] J. Kaufman,et al. Comparison of self-report, video observation and direct measurement methods for upper extremity musculoskeletal disorder physical risk factors , 2001, Ergonomics.
[36] Xu Xu,et al. A computer vision based method for 3D posture estimation of symmetrical lifting. , 2018, Journal of biomechanics.
[37] Antoni B. Chan,et al. 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network , 2014, ACCV.
[38] Vincent Lepetit,et al. Direct Prediction of 3D Body Poses from Motion Compensated Sequences , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Bernt Schiele,et al. Multi-view Pictorial Structures for 3D Human Pose Estimation , 2013, BMVC.
[40] Jean-Luc Dugelay,et al. Learned vs. Hand-Crafted Features for Pedestrian Gender Recognition , 2015, ACM Multimedia.
[41] Junzhou Huang,et al. Track Facial Points in Unconstrained Videos , 2016, BMVC.