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    Analysis of Pose and Workspace Characteristic of 5-DOF Parallel Robot by Zhiyong Yang, Hongjun Zhou, Qiao Fang, Zihao Zhang, Jun Wang, Chen Miao

    Published 2021-09-01
    “…The <italic>X</italic>-direction constraint degrees of freedom of robot is analyzed through the DH parameter method, the mapping relationship between the moving platform pose and the driving branch is determined according to the robot kinematics inverse solution equation. …”
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  3. 3

    An Improved 2D Pose Estimation Algorithm for Extracting Phenotypic Parameters of Tomato Plants in Complex Backgrounds by Yawen Cheng, Ni Ren, Anqi Hu, Lingli Zhou, Chao Qi, Shuo Zhang, Qian Wu

    Published 2024-11-01
    “…IYOLOv8s-pose achieves high precision while simultaneously enhancing efficiency and convenience, rendering it particularly well suited for extracting phenotypic parameters of tomato plants grown naturally within greenhouse environments. …”
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  4. 4

    Joint Optimization of the 3D Model and 6D Pose for Monocular Pose Estimation by Liangchao Guo, Lin Chen, Qiufu Wang, Zhuo Zhang, Xiaoliang Sun

    Published 2024-10-01
    “…And the correction values of the 3D landmarks and the 6D pose are parameters to be solved in the optimization problem. …”
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    SUMediPose: A 2D-3D pose estimation datasetDataverse by Chris-Mari Schreuder, Oloff Bergh, Lizé Steyn, Rensu P. Theart

    Published 2025-06-01
    “…This design enables the dataset to support both 2D and 3D pose estimation tasks. To ensure anatomical accuracy, a professional placed an extensive array of markers on each participant, adhering to industry standards.The dataset also includes all intrinsic and extrinsic camera parameters, as well as origin axis data, necessary for performing any 3D or 2D projections. …”
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  6. 6

    Research on Lightweight Model of Multi-person Pose Estimation Based on Improved YOLOv8s-Pose by FU Yu, GAO Shuhui

    Published 2025-03-01
    “…Therefore, the proposed lightweight improvement algorithm not only reduces the number of model parameters but also enhances the accuracy of human pose estimation algorithms, especially for small target detection, which provides an effective means to achieve real-time and accurate pose estimation.…”
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    PoseNet++: A multi-scale and optimized feature extraction network for high-precision human pose estimation. by Chao Lv, Geyao Ma

    Published 2025-01-01
    “…On the MPII validation set, PoseNet++ improves the PCKh score by 3.3% relative to the baseline 3-stacked hourglass network, while reducing the number of model parameters and the number of floating-point operations by 60.3% and 53.1%, respectively. …”
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    Assessment of temporospatial and kinematic gait parameters using human pose estimation in patients with Parkinson's disease: A comparison between near-frontal and lateral views. by Jeongsik Kim, Ryul Kim, Kyeongho Byun, Nyeonju Kang, Kiwon Park

    Published 2025-01-01
    “…Recently, video-based human pose estimation (HPE) technology has attracted attention as a cheaper and simpler method for performing gait analysis than marker-based 3D motion capture systems. …”
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    Methodologies for Improved Optimisation of the Derivative Order and Neural Network Parameters in Neural FDE Models by Cecília Coelho, M. Fernanda P. Costa, Oliver Niggemann, Luís L. Ferrás

    Published 2025-07-01
    “…This work presents and compares different methodologies for the joint optimisation of the fractional derivative order and the parameters of the right-hand-side neural network in Neural Fractional Differential Equation models. …”
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    Research on lightweight pose estimation networks for classroom behavior recognition by XUE Tao, CAO Zherui, ZHOU Qianming

    Published 2024-12-01
    “…To address this issue, we proposed the focused linear attention pose estimation network (FLAPose), which redesigned sectionalization attention (SA) to enhance the model′s capability to capture local information. …”
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    A Study on Systematic Improvement of Transformer Models for Object Pose Estimation by Jungwoo Lee, Jinho Suh

    Published 2025-02-01
    “…To improve training efficiency and support multi-object inference, it reduces memory consumption by adjusting the transformer’s attention layer and incorporates low-rank weight decomposition to decrease parameters. Additionally, GQA and RMS normalization enhance multi-object pose estimation performance, resulting in reduced memory usage and improved training accuracy. …”
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    Fast Intrinsic–Extrinsic Calibration for Pose-Only Structure-from-Motion by Xiaoyang Tian, Yangbing Ge, Zhen Tan, Xieyuanli Chen, Ming Li, Dewen Hu

    Published 2025-06-01
    “…To address these limitations, we proposed a novel SfM system based on pose-only adjustment (PA) for intrinsic and extrinsic joint optimization to accelerate computing. …”
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    The pig pose recognition method based on pig body semantic segmentation by Nuonan Huang, Deli Zhu, Liang He, Yi Li

    Published 2025-12-01
    “…To address these challenges, this paper proposes a novel pig pose recognition method based on the semantic segmentation of pig body parts. …”
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    Inverse Free Iterative Methods for Nonlinear Ill-Posed Operator Equations by Ioannis K. Argyros, Santhosh George, P. Jidesh

    Published 2014-01-01
    “…The regularization parameter is chosen according to the balancing principle considered by Pereverzev and Schock (2005). …”
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    Multifactor Analysis of Roadheader’s Body Pose Responses during the Horizontal Cutting Process by Kai Zong, Peng Zhang, Pengjiang Wang, Shichen Fu, Yiming Li, Minjun Zhang, Miao Wu

    Published 2018-01-01
    “…The cutting head load, horizontal swing angle of the cutting arm, and dip angle of coal seam were regarded as independent variables to perform changing parameter analysis in variations of the body pose. …”
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    Spatial Curve Position and Pose Planning of 6R Industrial Manipulator in Adams by Huiyong Zhou, Gongbing Su, Langjia Yuan, Tianxiang Liu

    Published 2019-07-01
    “…In order to realize spatial curve trajectory and pose planning, a kind of method is put forward that the pose of the eoat in discrete points of the spatial circular curve is obtained, and Cardan angles are worked out and fitted in Matlab by calculating discretely the Frenet frame of the spatial circular curve expressed by the parameter equation. …”
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    HP-YOLO: A Lightweight Real-Time Human Pose Estimation Method by Haiyan Tu, Zhengkun Qiu, Kang Yang, Xiaoyue Tan, Xiujuan Zheng

    Published 2025-03-01
    “…Human Pose Estimation (HPE) plays a critical role in medical applications, particularly within nursing robotics for patient monitoring. …”
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    SP-HRNet: single-path neural architecture search for human pose estimation by Mengyu Sun, Yichao Wang, Peng Wang, Wuqi Gao, Qunli Li, Xiaoyan Li, Ruohai Di

    Published 2025-06-01
    “…Our proposed network attains outstanding performance on the COCO human pose estimation dataset, achieving heightened accuracy while concurrently reducing the number of model parameters.…”
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