Articoli di riviste sul tema "Estimation de poses humaines"
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R, Jayasri. "HUMAN POSE ESTIMATION". International Scientific Journal of Engineering and Management 03, n. 03 (23 marzo 2024): 1–9. http://dx.doi.org/10.55041/isjem01426.
Lv Yao-wen, 吕耀文, 王建立 WANG Jian-li, 王昊京 WANG Hao-jing, 刘维 LIU Wei, 吴量 WU Liang e 曹景太 CAO Jing-tai. "Estimation of camera poses by parabolic motion". Optics and Precision Engineering 22, n. 4 (2014): 1078–85. http://dx.doi.org/10.3788/ope.20142204.1078.
Shalimova, E. A., E. V. Shalnov e A. S. Konushin. "Camera parameters estimation from pose detections". Computer Optics 44, n. 3 (giugno 2020): 385–92. http://dx.doi.org/10.18287/2412-6179-co-600.
Mahajan, Priyanshu, Shambhavi Gupta e Divya Kheraj Bhanushali. "Body Pose Estimation using Deep Learning". International Journal for Research in Applied Science and Engineering Technology 11, n. 3 (31 marzo 2023): 1419–24. http://dx.doi.org/10.22214/ijraset.2023.49688.
Aju, Abin, Christa Mathew e O. S. Gnana Prakasi. "PoseNet based Model for Estimation of Karate Poses". Journal of Innovative Image Processing 4, n. 1 (16 maggio 2022): 16–25. http://dx.doi.org/10.36548/jiip.2022.1.002.
Astuti, Ani Dwi, Tita Karlita e Rengga Asmara. "Yoga Pose Rating using Pose Estimation and Cosine Similarity". Jurnal Ilmu Komputer dan Informasi 16, n. 2 (3 luglio 2023): 115–24. http://dx.doi.org/10.21609/jiki.v16i2.1151.
Jagtap, Aniket. "Yoga Guide: Yoga Pose Estimation Using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 12, n. 2 (29 febbraio 2024): 296–97. http://dx.doi.org/10.22214/ijraset.2024.58272.
Sun, Jun, Mantao Wang, Xin Zhao e Dejun Zhang. "Multi-View Pose Generator Based on Deep Learning for Monocular 3D Human Pose Estimation". Symmetry 12, n. 7 (4 luglio 2020): 1116. http://dx.doi.org/10.3390/sym12071116.
Su, Jianhua, Zhi-Yong Liu, Hong Qiao e Chuankai Liu. "Pose-estimation and reorientation of pistons for robotic bin-picking". Industrial Robot: An International Journal 43, n. 1 (18 gennaio 2016): 22–32. http://dx.doi.org/10.1108/ir-06-2015-0129.
Fujita, Kohei, e Tsuyoshi Tasaki. "PYNet: Poseclass and Yaw Angle Output Network for Object Pose Estimation". Journal of Robotics and Mechatronics 35, n. 1 (20 febbraio 2023): 8–17. http://dx.doi.org/10.20965/jrm.2023.p0008.
Tang, Danhang, Hyung Jin Chang, Alykhan Tejani e Tae-Kyun Kim. "Latent Regression Forest: Structured Estimation of 3D Hand Poses". IEEE Transactions on Pattern Analysis and Machine Intelligence 39, n. 7 (1 luglio 2017): 1374–87. http://dx.doi.org/10.1109/tpami.2016.2599170.
Cheng, Yu, Bo Wang, Bo Yang e Robby T. Tan. "Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos". Proceedings of the AAAI Conference on Artificial Intelligence 35, n. 2 (18 maggio 2021): 1157–65. http://dx.doi.org/10.1609/aaai.v35i2.16202.
Li, Jiaman, C. Karen Liu e Jiajun Wu. "Ego-Body Pose Estimation via Ego-Head Pose Estimation". AI Matters 9, n. 2 (giugno 2023): 20–23. http://dx.doi.org/10.1145/3609468.3609473.
Li, Haolun, e Chi-Man Pun. "CEE-Net: Complementary End-to-End Network for 3D Human Pose Generation and Estimation". Proceedings of the AAAI Conference on Artificial Intelligence 37, n. 1 (26 giugno 2023): 1305–13. http://dx.doi.org/10.1609/aaai.v37i1.25214.
Zhang, Maomao, Ao Li, Honglei Liu e Minghui Wang. "Coarse-to-Fine Hand–Object Pose Estimation with Interaction-Aware Graph Convolutional Network". Sensors 21, n. 23 (3 dicembre 2021): 8092. http://dx.doi.org/10.3390/s21238092.
Aoki, Koki, Tomoya Sato, Eijiro Takeuchi, Yoshiki Ninomiya e Junichi Meguro. "Error Covariance Estimation of 3D Point Cloud Registration Considering Surrounding Environment". Journal of Robotics and Mechatronics 35, n. 2 (20 aprile 2023): 435–44. http://dx.doi.org/10.20965/jrm.2023.p0435.
Chen, Ning, Shaopeng Wu, Yupeng Chen, Zhanghua Wang e Ziqian Zhang. "A Pose Estimation Algorithm for Multimodal Data Fusion". Traitement du Signal 39, n. 6 (31 dicembre 2022): 1971–79. http://dx.doi.org/10.18280/ts.390609.
Guo, Fangtai, Zaixing He, Shuyou Zhang e Xinyue Zhao. "Estimation of 3D human hand poses with structured pose prior". IET Computer Vision 13, n. 8 (dicembre 2019): 683–90. http://dx.doi.org/10.1049/iet-cvi.2018.5480.
Niwaya, Haruo, Haruki Imaoka e Atsuo Shibuya. "Estimation of the Distribution of Garment Pressure for Several Poses." Sen'i Gakkaishi 52, n. 5 (1996): 248–52. http://dx.doi.org/10.2115/fiber.52.5_248.
Favorskaya, M., D. Novikov e Y. Savitskaya. "HUMAN ACTION POSELETS ESTIMATION VIA COLOR G-SURF IN STILL IMAGES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5/W6 (18 maggio 2015): 51–58. http://dx.doi.org/10.5194/isprsarchives-xl-5-w6-51-2015.
Qian, Junpeng, Xiaogang Cheng, Bin Yang, Zhe Li, Junchi Ren, Thomas Olofsson e Haibo Li. "Vision-Based Contactless Pose Estimation for Human Thermal Discomfort". Atmosphere 11, n. 4 (12 aprile 2020): 376. http://dx.doi.org/10.3390/atmos11040376.
Kim, Jong-Wook, Jin-Young Choi, Eun-Ju Ha e Jae-Ho Choi. "Human Pose Estimation Using MediaPipe Pose and Optimization Method Based on a Humanoid Model". Applied Sciences 13, n. 4 (20 febbraio 2023): 2700. http://dx.doi.org/10.3390/app13042700.
Zhao, Wenhui, Bin Xu e Xinzhong Wu. "Robot grasping system based on deep learning target detection". Journal of Physics: Conference Series 2450, n. 1 (1 marzo 2023): 012071. http://dx.doi.org/10.1088/1742-6596/2450/1/012071.
McCall, Sheldon, Liyun Gong, Afreen Naz, Syed Waqar Ahmed, Wing On Tam e Miao Yu. "A Novel Mobile Vision Based Technique for 3D Human Pose Estimation". European Journal of Electrical Engineering and Computer Science 7, n. 6 (26 dicembre 2023): 82–87. http://dx.doi.org/10.24018/ejece.2023.7.6.573.
Šajina, Romeo, e Marina Ivašić-Kos. "3D Pose Estimation and Tracking in Handball Actions Using a Monocular Camera". Journal of Imaging 8, n. 11 (10 novembre 2022): 308. http://dx.doi.org/10.3390/jimaging8110308.
Hu, Xiaoling, e Chang Liu. "Animal Pose Estimation Based on Contrastive Learning with Dynamic Conditional Prompts". Animals 14, n. 12 (7 giugno 2024): 1712. http://dx.doi.org/10.3390/ani14121712.
Zhou, Xiaolong, Tian Jin, Yongpeng Dai, Yongping Song e Kemeng Li. "Three-Dimensional Human Pose Estimation from Micro-Doppler Signature Based on SISO UWB Radar". Remote Sensing 16, n. 7 (6 aprile 2024): 1295. http://dx.doi.org/10.3390/rs16071295.
Zhang, Beichen, e Yue Bao. "Age Estimation of Faces in Videos Using Head Pose Estimation and Convolutional Neural Networks". Sensors 22, n. 11 (31 maggio 2022): 4171. http://dx.doi.org/10.3390/s22114171.
Wei, Yongfeng, Hanmeng Zhang, Caili Gong, Dong Wang, Ming Ye e Yupu Jia. "Study of Pose Estimation Based on Spatio-Temporal Characteristics of Cow Skeleton". Agriculture 13, n. 8 (1 agosto 2023): 1535. http://dx.doi.org/10.3390/agriculture13081535.
Xu, Xixia, Qi Zou e Xue Lin. "Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation". Proceedings of the AAAI Conference on Artificial Intelligence 36, n. 3 (28 giugno 2022): 2955–63. http://dx.doi.org/10.1609/aaai.v36i3.20201.
Su, Yongzhi, Jason Rambach, Alain Pagani e Didier Stricker. "SynPo-Net—Accurate and Fast CNN-Based 6DoF Object Pose Estimation Using Synthetic Training". Sensors 21, n. 1 (5 gennaio 2021): 300. http://dx.doi.org/10.3390/s21010300.
Fan, Zhen, Xiu Li e Yipeng Li. "Multi-Agent Deep Reinforcement Learning for Online 3D Human Poses Estimation". Remote Sensing 13, n. 19 (6 ottobre 2021): 3995. http://dx.doi.org/10.3390/rs13193995.
Barfoot, Timothy D., e Paul T. Furgale. "Associating Uncertainty With Three-Dimensional Poses for Use in Estimation Problems". IEEE Transactions on Robotics 30, n. 3 (giugno 2014): 679–93. http://dx.doi.org/10.1109/tro.2014.2298059.
Mekami, Hayet, Abdennacer Bounoua e Sidahmed Benabderrahmane. "Leveraging deep learning with symbolic sequences for robust head poses estimation". Pattern Analysis and Applications 23, n. 3 (7 novembre 2019): 1391–406. http://dx.doi.org/10.1007/s10044-019-00857-5.
Desai, Miral, e Hiren Mewada. "A novel approach for yoga pose estimation based on in-depth analysis of human body joint detection accuracy". PeerJ Computer Science 9 (13 gennaio 2023): e1152. http://dx.doi.org/10.7717/peerj-cs.1152.
Hong, Sungjin, e Yejin Kim. "Dynamic Pose Estimation Using Multiple RGB-D Cameras". Sensors 18, n. 11 (10 novembre 2018): 3865. http://dx.doi.org/10.3390/s18113865.
Bautembach, Dennis, Iason Oikonomidis e Antonis Argyros. "Filling the Joints: Completion and Recovery of Incomplete 3D Human Poses". Technologies 6, n. 4 (30 ottobre 2018): 97. http://dx.doi.org/10.3390/technologies6040097.
Liu, Yuanyuan, Xingmei Li, Fang Fang, Fayong Zhang, Jingying Chen e Zhizhong Zeng. "Visual Focus of Attention and Spontaneous Smile Recognition Based on Continuous Head Pose Estimation by Cascaded Multi-Task Learning". International Journal of Pattern Recognition and Artificial Intelligence 33, n. 07 (7 giugno 2019): 1940006. http://dx.doi.org/10.1142/s0218001419400068.
Ravan, Aniket, Ruopei Feng, Martin Gruebele e Yann R. Chemla. "Rapid automated 3-D pose estimation of larval zebrafish using a physical model-trained neural network". PLOS Computational Biology 19, n. 10 (23 ottobre 2023): e1011566. http://dx.doi.org/10.1371/journal.pcbi.1011566.
Wang, X., H. Yu e D. Feng. "Pose estimation in runway end safety area using geometry structure features". Aeronautical Journal 120, n. 1226 (aprile 2016): 675–91. http://dx.doi.org/10.1017/aer.2016.16.
Wang, Xianghan, Jie Jiang, Yanming Guo, Lai Kang, Yingmei Wei e Dan Li. "CFAM: Estimating 3D Hand Poses from a Single RGB Image with Attention". Applied Sciences 10, n. 2 (15 gennaio 2020): 618. http://dx.doi.org/10.3390/app10020618.
El Kaid, Amal, e Karim Baïna. "A Systematic Review of Recent Deep Learning Approaches for 3D Human Pose Estimation". Journal of Imaging 9, n. 12 (12 dicembre 2023): 275. http://dx.doi.org/10.3390/jimaging9120275.
Liu, Pengpeng, Tao Yu, Zhi Zeng, Yebin Liu, Guixuan Zhang e Zhen Song. "Relative Pose Estimation for RGB-D Human Input Scans via Implicit Function Reconstruction". Wireless Communications and Mobile Computing 2022 (11 febbraio 2022): 1–9. http://dx.doi.org/10.1155/2022/4351951.
Jo, BeomJun, e SeongKi Kim. "Comparative Analysis of OpenPose, PoseNet, and MoveNet Models for Pose Estimation in Mobile Devices". Traitement du Signal 39, n. 1 (28 febbraio 2022): 119–24. http://dx.doi.org/10.18280/ts.390111.
Yuan, Honglin, Tim Hoogenkamp e Remco C. Veltkamp. "RobotP: A Benchmark Dataset for 6D Object Pose Estimation". Sensors 21, n. 4 (11 febbraio 2021): 1299. http://dx.doi.org/10.3390/s21041299.
Miyazaki, Jisho, e Keiji Matsumoto. "Imaginarity-free quantum multiparameter estimation". Quantum 6 (10 marzo 2022): 665. http://dx.doi.org/10.22331/q-2022-03-10-665.
Wang, Fei, Chen Liang, Changlei Ru e Hongtai Cheng. "An Improved Point Cloud Descriptor for Vision Based Robotic Grasping System". Sensors 19, n. 10 (14 maggio 2019): 2225. http://dx.doi.org/10.3390/s19102225.
Amadi, Lawrence, e Gady Agam. "Weakly Supervised 2D Pose Adaptation and Body Part Segmentation for Concealed Object Detection". Sensors 23, n. 4 (10 febbraio 2023): 2005. http://dx.doi.org/10.3390/s23042005.
Zhao, Shida, Zongchun Bai, Lili Meng, Guofeng Han e Enze Duan. "Pose Estimation and Behavior Classification of Jinling White Duck Based on Improved HRNet". Animals 13, n. 18 (10 settembre 2023): 2878. http://dx.doi.org/10.3390/ani13182878.
Borthakur, Debanjan, Arindam Paul, Dev Kapil e Manob Jyoti Saikia. "Yoga Pose Estimation Using Angle-Based Feature Extraction". Healthcare 11, n. 24 (9 dicembre 2023): 3133. http://dx.doi.org/10.3390/healthcare11243133.