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1. Full Text Stacked hourglass networks for human pose estimation
by Newell, Alejandro and Yang, Kaiyu and Deng, Jia
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2016, Volume 9912, pp. 483 - 499
Human pose estimation
Conference Proceeding
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2. Full Text 2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images
by Eichner, M and Marin-Jimenez, M and Zisserman, A and Ferrari, V
International Journal of Computer Vision, ISSN 0920-5691, 9/2012, Volume 99, Issue 2, pp. 190 - 214
We present a technique for estimating the spatial layout of humans in still images—the position of the head, torso and arms. The theme we explore is that once... 
Artificial Intelligence (incl. Robotics) | Pattern Recognition | Articulated human pose estimation search retrieval | Computer Science | Image Processing and Computer Vision | Computer Imaging, Vision, Pattern Recognition and Graphics | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Detectors | Studies | Pattern recognition | Image retrieval | Vision systems | Analysis | Human | Retrieval | Searching | Lighting | Images | Estimating | Mathematical models
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3. Full Text Robust Face Landmark Estimation under Occlusion
by Burgos-Artizzu, Xavier P and Perona, Pietro and Dollar, Piotr
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 1513 - 1520
Human faces captured in real-world conditions present large variations in shape and occlusions due to differences in pose, expression, use of accessories such... 
Training | Shape | Face shape | Face recognition | Pose estimation | Estimation | Landmark estimation | Benchmark testing | Feature extraction | Robustness | Face | Occlusion | Human | Computer vision | Accessories | Conferences | Outerwear | Regression | Landmarks | Foods
Conference Proceeding
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4. Full Text VNect
: real-time 3D human pose estimation with a single RGB camera
by Mehta, Dushyant and Sridhar, Srinath and Sotnychenko, Oleksandr and Rhodin, Helge and Shafiei, Mohammad and Seidel, Hans-Peter and Xu, Weipeng and Casas, Dan and Theobalt, Christian
ACM Transactions on Graphics (TOG), ISSN 0730-0301, 07/2017, Volume 36, Issue 4, pp. 1 - 14
We present the first real-time method to capture the full global 3D skeletal pose of a human in a stable, temporally consistent manner using a single RGB... 
body pose | real time | monocular | Real time | Monocular | Body pose | COMPUTER SCIENCE, SOFTWARE ENGINEERING | PICTORIAL STRUCTURES | MODELS | MOTION CAPTURE | RECONSTRUCTION | TRACKING | PEOPLE
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5. Full Text Vision-based hand pose estimation: A review
by Erol, Ali and Bebis, George and Nicolescu, Mircea and Boyle, Richard D and Twombly, Xander
Computer Vision and Image Understanding, ISSN 1077-3142, 2007, Volume 108, Issue 1, pp. 52 - 73
Direct use of the hand as an input device is an attractive method for providing natural human–computer interaction (HCI). Currently, the only technology that... 
Gesture-based HCI | Hand pose estimation | Gesture recognition | gesture recognition | IMAGE | INTERFACE | HUMAN MOTION ANALYSIS | TRACKING | hand pose estimation | MODEL | gesture-based HCI | HUMAN-COMPUTER INTERACTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
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6. Full Text Gaze Estimation in the 3D Space Using RGB-D Sensors
: Towards Head-Pose and User Invariance
by Funes-Mora, Kenneth A and Odobez, Jean-Marc
International Journal of Computer Vision, ISSN 0920-5691, 6/2016, Volume 118, Issue 2, pp. 194 - 216
We address the problem of 3D gaze estimation within a 3D environment from remote sensors, which is highly valuable for applications in human–human and... 
Person invariance | Pattern Recognition | Computer Science | Computer Imaging, Vision, Pattern Recognition and Graphics | Image Processing and Computer Vision | Appearance based methods | Head-pose invariance | Artificial Intelligence (incl. Robotics) | Gaze estimation | RGB-D cameras | Studies | Tracking control systems | Sensors | Vision systems | 3-D graphics | Analysis | Remote sensors | Tracking | Eyes | Coding | Images | Cameras | Invariance | Three dimensional
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7. Full Text Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
by Zhe Cao and Simon, Tomas and Shih-En Wei and Sheikh, Yaser
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 1302 - 1310
We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as... 
Training | Runtime | Two dimensional displays | Pose estimation | Detectors | Computer architecture | Benchmark testing
Conference Proceeding
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8. Full Text Efficient Human Pose Estimation from Single Depth Images
by Shotton, Jamie and Girshick, Ross and Fitzgibbon, Andrew and Sharp, Toby and Cook, Mat and Finocchio, Mark and Moore, Richard and Kohli, Pushmeet and Criminisi, Antonio and Kipman, Alex and Blake, Andrew
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 12/2013, Volume 35, Issue 12, pp. 2821 - 2840
We describe two new approaches to human pose estimation. Both can quickly and accurately predict the 3D positions of body joints from a single depth image... 
Computer vision | Shape analysis | Pose estimation | Human factors | pixel classification | games | Cameras | Feature extraction | Rendering (computer graphics) | machine learning | depth cues | range data | RECOGNITION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Image Interpretation, Computer-Assisted | Regression Analysis | Algorithms | Imaging, Three-Dimensional | Humans | Measurement | Usage | Image processing | Innovations | Imaging systems | Design and construction | Mathematical optimization | Pixels | Index Medicus
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9. Full Text Demographic Estimation from Face Images: Human vs. Machine Performance
by Hu Han and Otto, Charles and Xiaoming Liu and Jain, Anil K
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 06/2015, Volume 37, Issue 6, pp. 1148 - 1161
Demographic estimation entails automatic estimation of age, gender and race of a person from his face image, which has many potential applications ranging from... 
Shape | crowdsourcing | Estimation | human vs. machine | Active appearance model | Databases | Image color analysis | quality assessment | Feature extraction | demographic informative feature | Demographic estimation | Face | hierarchical approach | HUMAN AGE ESTIMATION | SIMULATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | FEATURES | ENGINEERING, ELECTRICAL & ELECTRONIC | POSE | COLOR | GENDER CLASSIFICATION | OBJECT RECOGNITION | Continental Population Groups - classification | Humans | Child, Preschool | Male | Sex Determination Analysis | Image Processing, Computer-Assisted - methods | Young Adult | Algorithms | Adolescent | Face - anatomy & histology | Adult | Female | Biometric Identification - methods | Child | Usage | Demography | Estimation theory | Crowdsourcing | Index Medicus
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10. Full Text Human Pose Estimation with Iterative Error Feedback
by Carreira, Joao and Agrawal, Pulkit and Fragkiadaki, Katerina and Malik, Jitendra
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 4733 - 4742
Hierarchical feature extractors such as Convolutional Networks (ConvNets) have achieved impressive performance on a variety of classification tasks using... 
Training | Two dimensional displays | Pose estimation | Heating | Predictive models | Feature extraction | Mathematical model
Conference Proceeding
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11. Full Text Simultaneous pose estimation and patient-specific model reconstruction from single image using maximum penalized likelihood estimation (MPLE)
by Kang, Xin and Yau, Wai-Pan and Taylor, Russell H
Pattern Recognition, ISSN 0031-3203, 09/2016, Volume 57, pp. 61 - 69
Pose estimation and shape reconstruction are two common problems in pattern recognition, which oftentimes are tackled separately. But in some medical... 
Image-guided intervention | Surface reconstruction | 3D–2D deformable registration | Patient-specific model | Pose estimation | Maximum penalized likelihood estimation (MPLE) | 3D-2D deformable registration | BIPLANAR RECONSTRUCTION | MIXTURE | ALGORITHM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | SURFACE MODEL | FLUOROSCOPIC X-RAY | PELVIS | REGISTRATION | PROXIMAL FEMUR | Reconstruction | Initial conditions | Images | Joining | Medical | Pattern recognition | Estimates | Image reconstruction
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12. Full Text ElasticFusion: Real-time dense SLAM and light source estimation
by Whelan, Thomas and Salas-Moreno, Renato F and Glocker, Ben and Davison, Andrew J and Leutenegger, Stefan
The International Journal of Robotics Research, ISSN 0278-3649, 12/2016, Volume 35, Issue 14, pp. 1697 - 1716
We present a novel approach to real-time dense visual simultaneous localisation and mapping. Our system is capable of capturing comprehensive dense globally... 
dense methods | large scale | RGB-D | SLAM | real-time | reflections | camera pose estimation | Surfel fusion | specular | GPU | light sources | ROBOTICS | Brain | Usage | Image processing | Localization of functions | Electronic cameras | Research | Robotics | Light sources | Mappings (Mathematics) | Tests, problems and exercises | Cameras | Light | Tracking | Robustness | Real time | Closures | Photometry | Optimization
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13. Full Text Pose Estimation for Augmented Reality: A Hands-On Survey
by Marchand, Eric and Uchiyama, Hideaki and Spindler, Fabien
IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, 12/2016, Volume 22, Issue 12, pp. 2633 - 2651
Augmented reality (AR) allows to seamlessly insert virtual objects in an image sequence. In order to accomplish this goal, it is important that synthetic... 
Solid modeling | SLAM | Pose estimation | Homography | Augmented reality | keypoint matching | code examples | Three-dimensional displays | Simultaneous localization and mapping | Survey | PnP | Visual analytics | vision-based camera localization | motion estimation | Cameras | pose estimation | augmented reality | homography | KEYPOINT | LOCALIZATION | VISUAL TRACKING | FEATURES | COMPUTER SCIENCE, SOFTWARE ENGINEERING | MODELS | 3D TRACKING | REGISTRATION | EDGE | Position (location) | Localization | Equivalence | Inserts | Readers | Acceptability | Computer Science
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14. Full Text Robust Pose Estimation from a Planar Target
by Schweighofer, G and Pinz, A
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 12/2006, Volume 28, Issue 12, pp. 2024 - 2030
In theory, the pose of a calibrated camera can be uniquely determined from a minimum of four coplanar but noncollinear points. In practice, there are many... 
Camera pose ambiguity | Computer vision | pose tracking | Target tracking | Motion estimation | Layout | Cameras | Robustness | Image sequences | Data mining | State estimation | Lenses | Pose tracking | camera pose ambiguity | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Reproducibility of Results | Algorithms | Information Storage and Retrieval - methods | Artificial Intelligence | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Imaging, Three-Dimensional - methods | Image Enhancement - methods | Pattern Recognition, Automated - methods | Photography - methods | Error functions | Design and construction | Analysis | Estimation theory | Studies | Tasks | Tracking | Mathematical analysis | Minima | Calibration | Ambiguity | Index Medicus
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15. Full Text Combining Head Pose and Eye Location Information for Gaze Estimation
by Valenti, R and Sebe, N and Gevers, T
IEEE Transactions on Image Processing, ISSN 1057-7149, 02/2012, Volume 21, Issue 2, pp. 802 - 815
Head pose and eye location for gaze estimation have been separately studied in numerous works in the literature. Previous research shows that satisfactory... 
Solid modeling | Visualization | Head | Accuracy | Eye center location | Estimation | Cameras | Three dimensional displays | head pose estimation | gaze estimation | LOCALIZATION | SYMMETRY TRANSFORM | TRACKING | ACTIVE APPEARANCE MODELS | FACES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Eye Movements - physiology | Posture - physiology | Eye - anatomy & histology | Humans | Video Recording | Head Movements - physiology | Image Processing, Computer-Assisted - methods | Technology application | Usage | Image coding | Visualization (Computers) | Innovations | Pattern recognition | Hessian matrices | Object recognition (Computers) | Studies | Constraints | Eyes | Locators | Experimentation | Transformations | Localization | Position (location) | Visual | Index Medicus
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16. Full Text Strong Appearance and Expressive Spatial Models for Human Pose Estimation
by Pishchulin, Leonid and Andriluka, Mykhaylo and Gehler, Peter and Schiele, Bernt
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 3487 - 3494
Typical approaches to articulated pose estimation combine spatial modelling of the human body with appearance modelling of body parts. This paper aims to push... 
Torso | Training | Head | Biological system modeling | human pose estimation | Estimation | Detectors | Joints | Computer vision | State of the art | Human body | Conferences | Body parts | Articulated | Models | Modelling | Representations
Conference Proceeding
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17. Full Text 3D Human Pose Estimation = 2D Pose Estimation + Matching
by Ching-Hang Chen and Ramanan, Deva
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 5759 - 5767
We explore 3D human pose estimation from a single RGB image. While many approaches try to directly predict 3D pose from image measurements, we explore a simple... 
Training | Three-dimensional displays | Two dimensional displays | Pose estimation | Pipelines | Cameras | Libraries
Conference Proceeding
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18. Full Text Human Pose Estimation from Video and IMUs
by von Marcard, Timo and Pons-Moll, Gerard and Rosenhahn, Bodo
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 08/2016, Volume 38, Issue 8, pp. 1533 - 1547
In this work, we present an approach to fuse video with sparse orientation data obtained from inertial sensors to improve and stabilize full-body human motion... 
IMU | Visualization | multisensor fusion | Symmetric matrices | Three-dimensional displays | Tracking | Human pose estimation | inertial sensors | Cameras | Sensors | motion capture | animation | HUMAN SHAPE | TRACKING | HUMAN MOTION CAPTURE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Video Recording | Motion | Algorithms | Humans | Posture | Three-dimensional display systems | Usage | Motion capture | Research | Index Medicus
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19. Full Text Multi-context Attention for Human Pose Estimation
by Xiao Chu and Wei Yang and Wanli Ouyang and Cheng Ma and Yuille, Alan L and Xiaogang Wang
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 5669 - 5678
In this paper, we propose to incorporate convolutional neural networks with a multi-context attention mechanism into an end-to-end framework for human pose... 
Convolutional codes | Visualization | Correlation | Biological system modeling | Pose estimation | Semantics
Conference Proceeding
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20. Full Text Infinitesimal Plane-Based Pose Estimation
by Collins, Toby and Bartoli, Adrien
International Journal of Computer Vision, ISSN 0920-5691, 9/2014, Volume 109, Issue 3, pp. 252 - 286
Estimating the pose of a plane given a set of point correspondences is a core problem in computer vision with many applications including Augmented Reality... 
Pattern Recognition | PnP | Plane | Computer Science | Computer Imaging, Vision, Pattern Recognition and Graphics | Image Processing and Computer Vision | Pose | Artificial Intelligence (incl. Robotics) | SfM | Homography | CALIBRATION | PERSPECTIVE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Machine vision | Studies | Computer science | Estimating techniques | 3-D graphics | Computer vision | Planes | Run time (computers) | Transforms | Mathematical models | Estimates | Augmented reality | Three dimensional
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