Hand Keypoint Detection in Single Images Using Multiview Bootstrapping
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Yaser Sheikh | Hanbyul Joo | Tomas Simon | Iain A. Matthews | Yaser Sheikh | I. Matthews | Tomas Simon | H. Joo | T. Simon
[1] Yi Yang,et al. Depth-Based Hand Pose Estimation: Data, Methods, and Challenges , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[2] Takeo Kanade,et al. DigitEyes: vision-based hand tracking for human-computer interaction , 1994, Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects.
[3] Jian Sun,et al. Cascaded hand pose regression , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[5] Marc Pollefeys,et al. Capturing Hands in Action Using Discriminative Salient Points and Physics Simulation , 2015, International Journal of Computer Vision.
[6] Antonis A. Argyros,et al. Tracking the articulated motion of two strongly interacting hands , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Jovan Popović,et al. Real-time hand-tracking with a color glove , 2009, SIGGRAPH 2009.
[8] Qi Ye,et al. Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation , 2016, ECCV.
[9] Takeo Kanade,et al. Panoptic Studio: A Massively Multiview System for Social Motion Capture , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[10] Vincent Lepetit,et al. Efficiently Creating 3D Training Data for Fine Hand Pose Estimation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Jovan Popovic,et al. Real-time hand-tracking with a color glove , 2009, SIGGRAPH '09.
[12] Vincent Lepetit,et al. Training a Feedback Loop for Hand Pose Estimation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[13] Luc Van Gool,et al. Motion Capture of Hands in Action Using Discriminative Salient Points , 2012, ECCV.
[14] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[15] Antti Oulasvirta,et al. Interactive Markerless Articulated Hand Motion Tracking Using RGB and Depth Data , 2013, 2013 IEEE International Conference on Computer Vision.
[16] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Ken Perlin,et al. Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks , 2014, ACM Trans. Graph..
[18] Lale Akarun,et al. Hand Pose Estimation and Hand Shape Classification Using Multi-layered Randomized Decision Forests , 2012, ECCV.
[19] 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.
[20] Luc Van Gool,et al. Hand Pose Estimation from Local Surface Normals , 2016, ECCV.
[21] Andrew W. Fitzgibbon,et al. Accurate, Robust, and Flexible Real-time Hand Tracking , 2015, CHI.
[22] Shan Lu,et al. Using multiple cues for hand tracking and model refinement , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[23] Antti Oulasvirta,et al. Real-Time Joint Tracking of a Hand Manipulating an Object from RGB-D Input , 2016, ECCV.
[24] Antti Oulasvirta,et al. Fast and robust hand tracking using detection-guided optimization , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Varun Ramakrishna,et al. Convolutional Pose Machines , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Li Cheng,et al. Efficient Hand Pose Estimation from a Single Depth Image , 2013, 2013 IEEE International Conference on Computer Vision.
[27] Björn Stenger,et al. Model-based hand tracking using a hierarchical Bayesian filter , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] A FischlerMartin,et al. Random sample consensus , 1981 .
[29] Tae-Kyun Kim,et al. Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.