Intelligent Deep Learning and Keypoint Tracking-Based Detection of Lameness in Dairy Cows by Zongwei Jia, Yingjie Zhao, Xuanyu Mu, Dongjie Liu, Zhen Wang, Jiangtan Yao, Xuhui Yang

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OFPoint: Real-Time Keypoint Detection for Optical Flow Tracking in Visual Odometry by Yifei Wang, Libo Sun, Wenhu Qin

“…Visual odometry (VO), including keypoint detection, correspondence establishment, and pose estimation, is a crucial technique for determining motion in machine vision, with significant applications in augmented reality (AR), autonomous driving, and visual simultaneous localization and mapping (SLAM). …”
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Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024Keypoints by Laura Žigutytė, Thomas Sorz-Nechay, Jan Clusmann, Jakob Nikolas Kather

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Research on the applicability of image keypoints in underground mine environments by WANG Jiawen, LIAO Chenfei, ZHAO Zhongqi, HUANG Zhipeng, XIE Peilong, LIU Xinyi, HOU Yanhu, YANG Kehu

“…The keypoint algorithm, as a fundamental algorithm in machine vision, plays a crucial role in enhancing the visual perception capabilities of new mining equipment. …”
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Foreground-Driven Contrastive Learning for Unsupervised Human Keypoint Detection by Shuxian Li, Hui Luo, Zhengwei Miao, Zhixing Wang, Qiliang Bao, Jianlin Zhang

“…Human keypoint detection has significant value in computer vision tasks such as human-machine interaction. …”
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Quo vadis autoimmune hepatitis? - Summary of the 5th international autoimmune hepatitis group research workshop 2024Keypoints by Bastian Engel, David N. Assis, Mamatha Bhat, Jan Clusmann, Joost PH. Drenth, Alessio Gerussi, María-Carlota Londoño, Ye Htun Oo, Ida Schregel, Marcial Sebode, Richard Taubert

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A Two-Stage Facial Kinematic Control Strategy for Humanoid Robots Based on Keyframe Detection and Keypoint Cubic Spline Interpolation by Ye Yuan, Jiahao Li, Qi Yu, Jian Liu, Zongdao Li, Qingdu Li, Na Liu

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A review of acupoint localization based on deep learning by Jiahao Li, Zhennan Fei, Yingjiang Xie, Da Deng, Xingcheng Ming, Fu Niu

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SURABHI: Self-Training Using Rectified Annotations-Based Hard Instances for Eidetic Cattle Recognition by Manu Ramesh, Amy R. Reibman

“…We propose a self-training scheme, SURABHI, that trains deep-learning keypoint detection models on machine-annotated instances, together with the methodology to generate those instances. …”
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Objective dairy cow mobility analysis and scoring system using computer vision–based keypoint detection technique from top-view 2-dimensional videos by Shogo Higaki, Guilherme L. Menezes, Rafael E.P. Ferreira, Ariana Negreiro, Victor E. Cabrera, João R.R. Dórea

“…These findings indicate that the computer vision-based keypoint detection technique is effective for extracting mobility variables relevant to mobility scores from top-view 2D videos, and the machine learning classification model based on the newly extracted variables has the potential for objective mobility scoring in dairy cows.…”
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Image recognition method of cashmere and wool based on SVM-RFE selection with three types of features by Zhu Yaolin, Liu Kainan, Gu Meihua, Zhang Kaibing, Hu Gang

“…Image preprocessing methods will cause some damage to the fiber contours, resulting in the loss of feature information. The keypoint features that do not require image preprocessing are added to the library of morphological and texture features. …”
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SUMediPose: A 2D-3D pose estimation datasetDataverse by Chris-Mari Schreuder, Oloff Bergh, Lizé Steyn, Rensu P. Theart

“…Recent advancements in machine learning and computer vision, particularly in Pose Estimation (PE), offer promising alternatives. …”
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Cost-Efficient Fall Risk Assessment With Attention Augmented Vision Machine Learning on Sit-to-Stand Test Videos by Chunhua Pan, Boting Qu, Rui Miao, Xin Wang

“…To enhance the practicality of <sc>FRAVM</sc>, 3D pose estimation is applied to generate vision-rich 3D body keypoints, mitigating the challenges posed by restricted camera angles. …”
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High-Precision Pose Measurement of Containers on the Transfer Platform of the Dual-Trolley Quayside Container Crane Based on Machine Vision by Jiaqi Wang, Mengjie He, Yujie Zhang, Zhiwei Zhang, Octavian Postolache, Chao Mi

“…To address the high-precision measurement requirements for container pose on dual-trolley quayside crane-transfer platforms, this paper proposes a machine vision-based measurement method that resolves the challenges of multi-scale lockhole detection and precision demands caused by complex illumination and perspective deformation in port operational environments. …”
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Automated pain detection using facial expression in adult patients with a customized spatial temporal attention long short-term memory (STA-LSTM) network by Chin Wen Tan, Tiehua Du, Jing Chun Teo, Diana Xin Hui Chan, Wai Ming Kong, Ban Leong Sng

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Depth-Guided Monocular Object Pose Estimation for Warehouse Automation by Phan Xuan Tan, Dinh-Cuong Hoang, Anh-Nhat Nguyen, Eiji Kamioka, Ta Huu Anh Duong, Tuan-Minh Huynh, Duc-Manh Nguyen, Duc-Huy Ngo, Minh-Duc Cao, Thu-Uyen Nguyen, Van-Thiep Nguyen, Duc-Thanh Tran, Van-Hiep Duong, Anh-Truong Mai, Duc-Long Pham, Khanh-Toan Phan, Minh-Quang Do

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Automatic Fall Risk Detection Based on Imbalanced Data by Yen-Hung Liu, Patrick C. K. Hung, Farkhund Iqbal, Benjamin C. M. Fung

“…We use body ratio, acceleration and deflection as key features instead of using the body keypoints coordinates. Since fall data is rare in real-world situations, we train and evaluate our approach in a highly imbalanced data setting. …”
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Comprehensive empirical evaluation of feature extractors in computer vision by Murat ISIK

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Validation of a deep learning model for cattle lameness detection: Comparison of human scorer performance and automated gait analysis by Sandra Reitmaier, Serhan Narli

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2D-3D deformable image registration of histology slide and micro-CT with DISA-based initialization by Junan Chen, Matteo Ronchetti, Verena Stehl, Van Nguyen, Muhannad Al Kallaa, Mahesh Thalwaththe Gedara, Claudia Lölkes, Stefan Moser, Maximilian Seidl, Matthias Wieczorek

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