Robust Camera Pose Estimation from Line Correspondences Using GNC by Hans K.R. Holen, Torbjørn Smith, Olav Egeland

“…The approach estimates camera pose from 2D-3D line correspondences where outliers are in the form of line mismatches. …”
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Well-Posedness of a Hirota–Satsuma System Posed on a Half Line by Haiyan Lu

“…This paper studies the initial boundary value problem of the Hirota–Satsuma system posed on the half line. ut−αuxxx+6uux=2βvvx,x>0,t>0,vt+vxxx+3uvx=0,x>0,t>0,ux,0=u0x,vx,0=v0x,x>0,u0,t=ft,v0,t=gt,t>0.. …”
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A Biomimetic Pose Estimation and Target Perception Strategy for Transmission Line Maintenance UAVs by Haoze Zhuo, Zhong Yang, Chi Zhang, Nuo Xu, Bayang Xue, Zekun Zhu, Yucheng Xie

“…This article proposes a bionic-based UAV pose estimation and target perception strategy, which aims to address the lack of pattern recognition and automatic tracking capabilities of traditional power line inspection UAVs, as well as the poor robustness of visual odometry. …”
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Posing Dead to Make a Claim on Life in Paul Mendez and Kehinde Wiley by José M. Yebra

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The Power of Posing: Do Body Display Instructions Have an Impact on Behavior in Daily Life? by Mai Bjørnskov Mikkelsen, Emma Elkjær, Douglas S. Mennin, Johannes Michalak, Mia S. O'Toole

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A Mobile AR Computer-Aided Diagnosis: 6 DoF Brain Tumor Pose Estimator Using a Fine-Tuned EfficientPose-Based Model by Kahina Amara, Mohamed Amine Guerroudji, Oussama Kerdjidj, Nadia Zenati, Shadi Atalla, Wathiq Mansoor, Naeem Ramzan

“…This paper introduces a novel approach that utilises transfer learning and fine-tuning techniques to train a deep learning model capable of accurately estimating the 6 DoF object pose using RGB images alone. …”
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PoseAlign network for hybrid structure in 2D human pose estimation by Jin Zhang, Yabo Yin, Wenzhong Yang, Doudou Ren, Danny Chen

“…By efficiently aggregating features of the same spatial size (intra-layer features), PAN-HS achieves a fine-grained localized representation that preserves rich spatial information, thereby improving the precision of keypoint localization. …”
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ROM-Pose: restoring occluded mask image for 2D human pose estimation by Yunju Lee, Jihie Kim

“…HPE includes methods like top-down and bottom-up approaches. The top-down approach uses a two-stage process, first locating and then detecting key points on humans with bounding boxes, whereas the bottom-up approach directly detects individual key points and integrates them to estimate the overall pose. …”
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Origin centric and part based pose decomposition for 3D human pose estimation by Zhijie Lin, Jinxin Yao, Juan Huang, Jingjing Chen, Yingying Xu, Lu Yang, Lei Zhao, Wei Xing

“…Abstract Transformer-based approaches have recently made significant advancements in 3D human pose estimation from 2D inputs. Existing methods typically either consider the entire 2D skeleton for global features extraction or break it into independent parts for local features learning. …”
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Keypoint-based modeling reveals fine-grained body pose tuning in superior temporal sulcus neurons by Rajani Raman, Anna Bognár, Ghazaleh Ghamkhari Nejad, Albert Mukovskiy, Lucas Martini, Martin Giese, Rufin Vogels

“…Leveraging deep learning algorithms that extract body poses from videos of behaving monkeys, applied to a monkey avatar, we investigated neural tuning for pose and viewpoint, targeting fMRI-defined mid and anterior Superior Temporal Sulcus (STS) body patches. …”
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Distributed Relative Pose Estimation for Multi-UAV Systems Based on Inertial Navigation and Data Link Fusion by Kun Li, Shuhui Bu, Jiapeng Li, Zhenyv Xia, Jvboxi Wang, Xiaohan Li

“…Upon receiving data link information, each UAV filters erroneous measurements, time aligns them with its state estimates, and constructs a relative pose optimization factor graph for real-time state estimation. …”
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6D Object Pose Estimation With Compact Generalized Non-Local Operation by Changhong Jiang, Xiaoqiao Mu, Bingbing Zhang, Chao Liang, Mujun Xie

“…Real-time object detection and pose estimation are critical in practical applications such as virtual reality, scene understanding, and robotics. …”
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Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

“…The experiment showed that the improved model achieved correct limb percentage values of 87.7% and 86.8% on the Human3.6M and MPI-INF-3DHP datasets, respectively. …”
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Enhanced Pose Estimation for Badminton Players via Improved YOLOv8-Pose with Efficient Local Attention by Yijian Wu, Zewen Chen, Hongxing Zhang, Yulin Yang, Weichao Yi

“…In particular, we introduce an efficient local attention (ELA) mechanism that effectively captures fine-grained spatial dependencies and contextual information, thereby significantly improving the keypoint localization accuracy and overall pose estimation performance. …”
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Pod-pose : an efficient top-down keypoint detection model for fine-grained pod phenotyping in mature soybean by Fei Liu, Hang Liu, Qiong Wu, Zhongzhi Han, Shanchen Pang, Shudong Wang, Longgang Zhao

“…Results We propose Pod-pose, an innovative top-down keypoint detection model for precise soybean pod phenotyping that adapts human pose estimation techniques to plant phenotyping. …”
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Anti-drift pose tracker (ADPT), a transformer-based network for robust animal pose estimation cross-species by Guoling Tang, Yaning Han, Xing Sun, Ruonan Zhang, Ming-Hu Han, Quanying Liu, Pengfei Wei

“…Extensive experiments across cross-species datasets—including proprietary mouse and monkey recordings and public Drosophila and macaque datasets—demonstrate that ADPT significantly reduces drift and surpasses existing models like DeepLabCut and SLEAP in accuracy. Moreover, ADPT achieved 93.16% identification accuracy for 10 unmarked mice and 90.36% accuracy for freely interacting unmarked mice, which can be further refined to 99.72%, enhancing both anti-drift performance and pose estimation accuracy in social interactions. …”
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Tapping line detection and rubber tapping pose estimation for natural rubber trees based on improved YOLOv8 and RGB-D information fusion by Yaya Chen, Hui Yang, Junxiao Liu, Zhifu Zhang, Xirui Zhang

“…The improved YOLOv8n’s effect and efficiency were superior compared to other networks, and it could better detect and segment natural rubber tree image targets in different scenes. The pose estimation results from 300 new tapping lines showed the average success rate and average time consumed for rubber tapping pose estimation were 96% and 0.2818 s, respectively. …”
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TomatoPoseNet: An Efficient Keypoint-Based 6D Pose Estimation Model for Non-Destructive Tomato Harvesting by Jipeng Ni, Licheng Zhu, Lizhong Dong, Ruixue Wang, Kaikang Chen, Jianbo Gao, Wenbei Wang, Liming Zhou, Bo Zhao, Jiacheng Rong, Zhenhao Han, Kunlei Lu, Xuguang Feng

“…However, this process faces significant challenges due to the small size of fruit pedicels, cluttered environments, and varied poses of the tomatoes and pedicels. …”
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D3L-SLAM: A Comprehensive Hybrid Simultaneous Location and Mapping System with Deep Keypoint, Deep Depth, Deep Pose, and Line Detection by Hao Qu, Congrui Wang, Yangfan Xu, Lilian Zhang, Xiaoping Hu, Changhao Chen

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Research on visual positioning method of roadheader based on infrared LED line-type target by Jicheng WAN, Xuhui ZHANG, Wenjuan YANG, Chao ZHANG, Mengyu LEI, Yuyang DU, Zheng DONG, Junhao YANG

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