An Adversarial Attack via Penalty Method by Jiyuan Sun, Haibo Yu, Jianjun Zhao

“…There has been extensive research regarding the generation of and defense against adversarial examples in computer vision tasks, and existing attacking methods based on optimization fall into two categories: maximizing the loss and minimizing the perturbation size. …”
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Feature optimization-guided high-precision and real-time metal surface defect detection network by Sixian Chan, Suqiang Li, Hongkai Zhang, Xiaolong Zhou, Jiafa Mao, Feng Hong

“…Abstract Existing computer vision-based surface defect detection techniques for metal materials typically encounter issues with defect overlap, significant differences within classes, and similarity between defect samples. …”
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Reliable Disparity Estimation Using Multiocular Vision with Adjustable Baseline by Victor H. Diaz-Ramirez, Martin Gonzalez-Ruiz, Rigoberto Juarez-Salazar, Miguel Cazorla

“…Accurate estimation of three-dimensional (3D) information from captured images is essential in numerous computer vision applications. Although binocular stereo vision has been extensively investigated for this task, its reliability is conditioned by the baseline between cameras. …”
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Identification of Civil Infrastructure Damage Using Ensemble Transfer Learning Model by A. Shamila Ebenezer, S. Deepa Kanmani, V. Sheela, K. Ramalakshmi, V. Chandran, M. G. Sumithra, B. Elakkiya, Bharani Murugesan

“…The number of experts capable of evaluating such structural damage is inadequate. As a result, computer vision-based techniques for automatic damage detection have been developed. …”
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Consistent movement of viewers' facial keypoints while watching emotionally evocative videos. by Shivansh Chandra Tripathi, Rahul Garg

“…In this research, facial expression videos are used as a cost-effective and flexible alternative for CRM, minimally affected by external conditions. By employing computer vision-based automated facial keypoint tracking, a new metric similar to ISC, called the Average t-statistic, is introduced. …”
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MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition by S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi

“…Multi-label attribute recognition is a critical task in computer vision, with applications ranging across diverse fields. …”
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Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection by L. Meziou, A. Histace, F. Precioso, O. Romain, X. Dray, B. Granado, B. J. Matuszewski

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Rehabilitation monitoring and assessment: a comparative analysis of feature engineering and machine learning algorithms on the UI-PRMD and KIMORE benchmark datasets by Moamen Zaher, Amr S. Ghoneim, Laila Abdelhamid, Ayman Atia

“…Current rehabilitation research often lacks advanced computational techniques to automate exercise assessment, relying heavily on time-consuming and costly in-person sessions. This study uses computer vision and classical machine learning (ML) to monitor and evaluate physical rehabilitation exercises using skeletal data. …”
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CPT Model-Based Prediction of the Temporal and Spatial Distributions of Passenger Flow for Urban Rail Transit under Emergency Conditions by Wei Li, Min Zhou, Hairong Dong

“…Urban rail transit operating units currently use video surveillance information mainly to process emergencies and rarely use computer vision technology to analyze passenger flow information collected. …”
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Quality of Cattle Meat and Its Compositional Constituents by Umer Seid Geletu, Munera Ahmednur Usmael, Yesihak Yusuf Mummed, Abdulmuen Mohammed Ibrahim

“…Other methods such as computer vision and imaging spectroscopy, gas chromatographic analysis, near-infrared technology, dual-energy X-ray absorptiometry, and computerized tomography scanning are also used in the meat industry. …”
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Hybrid Intersection Over Union Loss for a Robust Small Object Detection in Low-Light Conditions by Twahir Kiobya, Junfeng Zhou, Baraka Maiseli, Maqbool Khan

“…In computer vision, most existing works about object detection focus on detecting objects in the good lighting conditions instead of low-light conditions. …”
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Object Re-Identification Based on Federated Incremental Subgradient Proximal Optimization by Li Kang, Chuanghong Zhao, Jianjun Huang

“…Object Re-identification (Object ReID) is one of the key tasks in the field of computer vision. However, traditional centralized ReID methods face challenges related to privacy protection and data storage. …”
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Position Determination for Dynamic Scenes With Unsynchronized Image Sequences by Kai Guo, Rui Cao, Chenyang Yue, Xin Zhou, Boyu Liu

“…Solving the stereo camera synchronization problem or estimating the temporal offset for dynamic scenes in triangulation is crucial in computer vision and photogrammetry. However, for cheap cameras like webcams, or cameras with long distance, synchronization is costly and complex. …”
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Clinical Whole-Body Gait Characterization Using a Single RGB-D Sensor by Lukas Boborzi, Johannes Bertram, Roman Schniepp, Julian Decker, Max Wuehr

“…However, the gold-standard marker-based 3D motion analysis is limited by high time and personnel demands. Advances in computer vision now enable markerless whole-body tracking with high accuracy. …”
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Localization of mobile robot in prior 3D LiDAR maps using stereo image sequence by I.V. Belkin, A.A. Abramenko, V.D. Bezuglyi, D.A. Yudin

“…A novel localization approach for mobile ground robot, which successfully combines conventional computer vision techniques, neural network based image analysis and numerical optimization, is proposed. …”
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Predictive modeling of cattle calving time emphasizing abnormal and normal cases by using posture analysis by May Phyu Khin, Pyke Tin, Yoichiro Horii, Thi Thi Zin

“…Leveraging advanced computer vision techniques, particularly the Mask R-CNN from the Detectron2 detection and the YOLOv8-pose classification method known for their efficient training time and overall accuracy, the system analyzes the frequency of posture changes and key postures like sitting, standing, feeding, sitting with extended legs, and tail-raised to predict calving cases with high precision. …”
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Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency by Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Azamat Kakhorov, Young-Im Cho

“…Monocular depth estimation (MDE) is a critical task in computer vision with applications in autonomous driving, robotics, and augmented reality. …”
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Image Evolution Using 2D Power Spectra by Michael Gircys, Brian J. Ross

“…In an attempt to bridge the divide between computer vision and cognitive perception, we propose the use of measures related to image spatial frequencies. …”
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Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset by Asadi Srinivasulu, Clement Varaprasad Karu, G Sreenivasulu, Gayathri R

“…Addressing this, an automatic and efficient retinal vessel segmentation method is urgently needed, utilizing computer vision techniques. Existing approaches include machine learning, filtering-based, and model-based methods. …”
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A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range Surfaces by Xiang Sun, Zhenjun Luo, Shizhao Wang, Jianhua Wang, Yunpeng Zhang, Dandan Zou

“…Three-dimensional (3D) reconstruction of high-dynamic-range (HDR) surfaces plays an important role in the fields of computer vision and image processing. Traditional 3D measurement methods often face the risk of information loss when dealing with surfaces that have HDR characteristics. …”
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