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1. Full Text A fast object registration method for augmented reality assembly with simultaneous determination of multiple 2D-3D correspondences
by Wang, Ke and Liu, Zhenyu and Liu, Daxin and Duan, Guifang and Hu, Liang and Tan, Jianrong
Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, 06/2020, Volume 63, p. 101890
A fast and robust object registration is one of the fundamental steps of an augmented reality (AR) assembly guidance system. To manage the registration of... 
Assembly guidance | Monocular image | Pose estimation | Registration | Geometric feature | Augmented reality
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2. Full Text Research on a real-time pose estimation method for a seam tracking system
by Zou, Yanbiao and Chen, Jiaxin and Wei, Xianzhong
Optics and Lasers in Engineering, ISSN 0143-8166, 04/2020, Volume 127, p. 105947
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3. Full Text Full body pose estimation of construction equipment using computer vision and deep learning techniques
by Luo, Han and Wang, Mingzhu and Wong, Peter Kok-Yiu and Cheng, Jack C.P
Automation in Construction, ISSN 0926-5805, 02/2020, Volume 110, p. 103016
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4. Full Text Cluster-wise learning network for multi-person pose estimation
by Zhao, Ying and Luo, Zhiwei and Quan, Changqin and Liu, Dianchao and Wang, Gang
Pattern Recognition, ISSN 0031-3203, 02/2020, Volume 98, p. 107074
In this paper, we propose a cluster-wise feature aggregation network that exploits multi-level contextual association for multi-person pose estimation. The... 
Keypoint detection | Deep learning | Pose estimation
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5. Full Text A multi-branch hand pose estimation network with joint-wise feature extraction and fusion
by Li, Xuefeng and Zhou, Yidan and Sun, Yi and Lin, Xiangbo and Ma, Xiaohong
Signal Processing: Image Communication, ISSN 0923-5965, 02/2020, Volume 81, p. 115692
The study of 3D hand pose estimation from a single depth image is regarded as a detection-based or regression-based problem among most of the existing deep... 
Neural network | Hand pose estimation | Human–computer interaction | Depth images
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6. Full Text A model-based gait recognition method with body pose and human prior knowledge
by Liao, Rijun and Yu, Shiqi and An, Weizhi and Huang, Yongzhen
Pattern Recognition, ISSN 0031-3203, 02/2020, Volume 98, p. 107069
We propose in this paper a novel model-based gait recognition method, . Gait recognition is a challenging and attractive task in biometrics. Early approaches... 
Spatio-temporal feature | Human body pose | Gait recognition
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7. Real Time 3D Pose Estimation of Both Human Hands via RGB-Depth Camera and Deep Convolutional Neural Networks
by Gi, Geon and Kim, Tae Yeon and Park, Hye Min and Park, Jeong Min and Dinh, Dong-Luong and Lee, Soo Yeol and Kim, Tae-Seong
IFMBE Proceedings, ISSN 1680-0737, 2020, Volume 69, pp. 467 - 471
Deep learning | Convolutional neural network | RGB-depth | 3-D hand pose recognition | Both hands
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8. Full Text Cross-resolution face recognition with pose variations via multilayer locality-constrained structural orthogonal procrustes regression
by Gao, Guangwei and Yu, Yi and Yang, Meng and Chang, Heyou and Huang, Pu and Yue, Dong
Information Sciences, ISSN 0020-0255, 01/2020, Volume 506, pp. 19 - 36
In real video surveillance scenes, the extracted face regions generally have low-resolution (LR) and are sensitive to pose and illumination variations; these... 
Nuclear norm | Face recognition | Low-resolution | Pose variations | SUPERRESOLUTION | HALLUCINATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | Computer science | Information management | Analysis | Biometry
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9. Full Text Low resolution face recognition using a two-branch deep convolutional neural network architecture
by Zangeneh, Erfan and Rahmati, Mohammad and Mohsenzadeh, Yalda
Expert Systems With Applications, ISSN 0957-4174, 01/2020, Volume 139, p. 112854
We propose a novel coupled mappings method for low resolution face recognition using deep convolutional neural networks (DCNNs). The proposed architecture... 
Deep convolutional neural networks | Super-resolution methods | Coupled mappings methods | Low resolution face recognition | SUPERRESOLUTION | HALLUCINATION | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | POSE | IMAGES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Image resolution | High resolution | Maps | Face recognition | Neural networks | Artificial neural networks | Transformations | Object recognition | Image reconstruction
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10. Full Text Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation
by Martinez-Gonzalez, Angel and Villamizar, Michael and Canevet, Olivier and Odobez, Jean-Marc
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 11/2019, pp. 1 - 1
Achieving robust multi-person 2D body landmark localization and pose estimation is essential for human behavior and interaction understanding as encountered... 
Machine Learning | Human Pose Estimation | Convolutional Neural Networks | Computer Science - Computer Vision and Pattern Recognition
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11. Full Text Human pose regression by combining indirect part detection and contextual information
by Luvizon, Diogo C and Tabia, Hedi and Picard, David
Computers & Graphics, ISSN 0097-8493, 12/2019, Volume 85, pp. 15 - 22
In this paper, we tackle the problem of human pose estimation from still images, which is a very active topic, specially due to its several applications, from... 
Neural nets | Computer vision | Human pose estimation | Signal and Image Processing | Neural and Evolutionary Computing | Computer Science
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12. Full Text Representation Learning by Rotating Your Faces
by Tran, Luan and Yin, Xi and Liu, Xiaoming
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 12/2019, Volume 41, Issue 12, pp. 3007 - 3021
The large pose discrepancy between two face images is one of the fundamental challenges in automatic face recognition. Conventional approaches to... 
Image quality | Representation learning | generative adversarial network | Face recognition | Image generation | Generative adversarial networks | face rotation and frontalization | Generators | Task analysis | pose-invariant face recognition | representation learning | Gallium nitride | Computer Science - Computer Vision and Pattern Recognition
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13. Full Text Accurate and efficient 3D hand pose regression for robot hand teleoperation using a monocular RGB camera
by Gomez-Donoso, Francisco and Orts-Escolano, Sergio and Cazorla, Miguel
Expert Systems With Applications, ISSN 0957-4174, 12/2019, Volume 136, pp. 327 - 337
In this paper, we present a novel deep learning-based architecture, which is under the scope of expert and intelligent systems, to perform accurate real-time... 
Deep learning | Monocular | Robot teleoperation | Hand pose estimation | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Neural networks | Robots | Remote control | Datasets | Annotations | Data sets | Machine learning | Artificial neural networks | Cameras | End effectors
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14. Full Text Cross-pose face recognition by integrating regression iteration and interactive subspace
by Li, Kefeng and Huang, Quanzhen
EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1472, 12/2019, Volume 2019, Issue 1, pp. 1 - 8
At present, the pose change of the face test sample is the main reason that affects the accuracy of face recognition, and the design of cross-pose recognition... 
Information Systems Applications (incl.Internet) | Interactive subspace method (ISM) | Engineering | Cross-pose face recognition | Signal,Image and Speech Processing | N-fold cross-validation | Regression iterative method (RIM) | Pose estimation | Communications Engineering, Networks | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC | Regression | Algorithms | Face recognition | Subspaces | Subspace methods
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15. Full Text A Survey on 3D Visual Tracking of Multicopters
by Fu, Qiang and Chen, Xiang-Yang and He, Wei
International Journal of Automation and Computing, ISSN 1476-8186, 12/2019, Volume 16, Issue 6, pp. 707 - 719
Three-dimensional (3D) visual tracking of a multicopter (where the camera is fixed while the multicopter is moving) means continuously recovering the... 
Engineering | three-dimensional (3D) visual tracking | Computer Applications | Control, Robotics, Mechatronics | Computer-Aided Engineering (CAD, CAE) and Design | Multicopter | camera placement | camera calibration | pose estimation
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16. Full Text Tensorpose: Real-time pose estimation for interactive applications
by Schirmer Silva, Luiz José and Soares da Silva, Djalma Lúcio and Barbosa Raposo, Alberto and Velho, Luiz and Côrtes Vieira Lopes, Hélio
Computers & Graphics, ISSN 0097-8493, 12/2019, Volume 85, pp. 1 - 14
The state of the art has outstanding results for 2D multi-person pose estimation using multi-stage Deep Neural Networks in images with high accuracy. However,... 
Convolutional neural networks | Real time applications | Pose estimation
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17. Full Text VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification
by Chen, Songle and Zheng, Lintao and Zhang, Yan and Sun, Zhixin and Xu, Kai
IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, 12/2019, Volume 25, Issue 12, pp. 3244 - 3257
Multi-view deep neural network is perhaps the most successful approach in 3D shape classification. However, the fusion of multi-view features based on max or... 
Solid modeling | Visualization | Shape | recurrent neural network | Computational modeling | Estimation | convolutional neural network | Task analysis | reinforcement learning | Three-dimensional displays | visual attention model | multi-view 3D shape recognition | 3D shape classification | POSE ESTIMATION | COMPUTER SCIENCE, SOFTWARE ENGINEERING | ACTIVE RECOGNITION
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18. Full Text An accurate and real-time multi-view face detector using ORFs and doubly domain-partitioning classifier
by Yoon, Jongmin and Yoon, Jongmin and Kim, Daijin and Kim, Daijin
Journal of Real-Time Image Processing, ISSN 1861-8200, 12/2019, Volume 16, Issue 6, pp. 2425 - 2440
We propose a novel multi-view face detector that operates accurately and fast in challenging environments. It consists of four consecutive functional... 
Pose-specific face detector | Multimedia Information Systems | Pose classifier | Face validator | Order relation feature | Computer Graphics | Pattern Recognition | Background rejector | Signal,Image and Speech Processing | Multi-view face detector | Computer Science | Image Processing and Computer Vision | Doubly domain-partitioning classifier
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19. Full Text Model-free pose estimation using point cloud data
by Lim, Tae W and Oestreich, Charles E
Acta Astronautica, ISSN 0094-5765, 12/2019, Volume 165, pp. 298 - 311
A model-free pose (relative attitude and position) estimation process using point cloud data is developed to support envisioned autonomous satellite servicing... 
Model-free pose estimation | Hough transform | Plane fitting | Point cloud data | Edge detection | Algorithms | Sensors | Clouds | Analysis | Aerospace engineering
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20. Full Text Face recognition with Bayesian convolutional networks for robust surveillance systems
by Zafar, Umara and Ghafoor, Mubeen and Zia, Tehseen and Ahmed, Ghufran and Latif, Ahsan and Malik, Kaleem Razzaq and Sharif, Abdullahi Mohamud
EURASIP Journal on Image and Video Processing, ISSN 1687-5176, 12/2019, Volume 2019, Issue 1, pp. 1 - 10
Recognition of facial images is one of the most challenging research issues in surveillance systems due to different problems including varying pose,... 
Biometrics | Engineering | Pattern Recognition | Signal,Image and Speech Processing | Face recognition | Image Processing and Computer Vision | Bayesian convolutional neural networks | Convolutional neural networks | Model uncertainty | Unconstrained face images | POSE | EIGENFACES | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | ENGINEERING, ELECTRICAL & ELECTRONIC | Image quality | Uncertainty | Surveillance systems | Surveillance | Neural networks | Machine learning | Artificial neural networks | Feature extraction | Object recognition | Bayesian analysis | Model accuracy
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