A Nonlinear Rebalanced Control Compensation Model for Visual Information of Drivers in the Foggy Section of Expressways by Xiaolei Li, Qianghui Song

“…To obtain the optimal driving visual guidance methods in sudden low-visibility fog environments, it is crucial to analyze the changes in visual characteristics and information demand under low-visibility foggy conditions. …”
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Visual strategies of young soccer players during a passing test – A pilot study by Pieter Vansteenkiste, Matthieu Lenoir, Izabela Krejtz, Krzysztof Krejtz

“… In sports, studies on visual behavior have mostly focused on expert-novice differences during decision making tasks and during aiming tasks. …”
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PLL-VO： An Efficient and Robust Visual Odometry Integrating Point-Line Features and Neural Networks by L. Zhao, Y. Yang, D. Ma, X. Lin, W. Wang

“…Visual odometry is crucial for the navigation and planning of autonomous robots, but low-light conditions, dramatic lighting changes, and low-texture scenes pose significant challenges to odometry estimation. …”
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A depth-based head-mounted visual display to aid navigation in partially sighted individuals. by Stephen L Hicks, Iain Wilson, Louwai Muhammed, John Worsfold, Susan M Downes, Christopher Kennard

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Through their eyes: enhancing teacher awareness of visual impairments via extended reality simulations (REALTER) by Mattia Barbieri, Valentina Pennazio, Silvio P. Sabatini, Monica Gori

“…However, traditional teacher training often lacks experiential components that convey the functional impact of low vision. This study explores the use of gaze-contingent immersive simulation in extended reality (XR) to enhance teachers' awareness and empathy toward students with visual impairments.MethodsWe employed the REALTER system, a portable XR platform originally developed for visual rehabilitation and oculomotor research, to simulate juvenile macular degeneration. …”
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Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma. by Leland S Hu, Shuluo Ning, Jennifer M Eschbacher, Nathan Gaw, Amylou C Dueck, Kris A Smith, Peter Nakaji, Jonathan Plasencia, Sara Ranjbar, Stephen J Price, Nhan Tran, Joseph Loftus, Robert Jenkins, Brian P O'Neill, William Elmquist, Leslie C Baxter, Fei Gao, David Frakes, John P Karis, Christine Zwart, Kristin R Swanson, Jann Sarkaria, Teresa Wu, J Ross Mitchell, Jing Li

“…The MRI-based model achieved 85% cross-validated accuracy to diagnose high- vs low-tumor in the training set (60 biopsies, 11 patients). …”
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Impact of Lipid Parameters on Visual Acuity Change in Non-Arteritic Anterior Ischemic Optic Neuropathy by Kemchoknatee P, Arjkongharn N, Pongpirul K

“…Early detection for individuals with dyslipidemia (DLP) and advanced age merit attention.Keywords: non-arteritic anterior ischemic optic neuropathy, NAION, visual acuity, total cholesterol, triglycerides, LDL, TC, low-density lipoprotein, TG…”
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Toward Enhanced Biomimetic Artificial Visual Systems Based on Organic Heterojunction Optoelectronic Synaptic Transistors by Haonan Wang, Wandi Chen, Wenjuan Su, Zhenyou Zou, Shuchen Weng, Xiongtu Zhou, Chaoxing Wu, Tailiang Guo, Yongai Zhang

“…Abstract Artificial visual systems, inspired by the human eye, hold significant potential in artificial intelligence. …”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…ObjectiveVisual inspection is an important technology for the roadside perception of vehicle-road cooperative. …”
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Visualizing Changes in Strategy Use across Attempts via State Diagrams: A Case Study by Deirdre Kerr

“…Game log data have great potential to provide actionable information about the in-game behavior of players. However, these low-level behavioral data are notoriously difficult to analyze due to the challenges associated with extracting meaning from sparse data stored at such a small grain size. …”
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Diagnostic accuracy of the TsiogkaSpaeth grid test for detecting visual field defects in patients with glaucoma by George L Spaeth, Evangelia Samoli, Efthymios Karmiris, Anastasia Tsiogka, Klio I Chatzistefanou, Konstantina Koulotsiou, Vasileios Papastavrou, Georgios I Triantafyllopoulos, Dimitrios Papaconstantinou

“…Background/aims To determine the accuracy of an innovative paper-based, low-cost, easily accessed, portable method of evaluating the visual field (VF).Methods Two groups of consecutive patients with glaucoma and controls were enrolled. …”
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A Review of DEtection TRansformer: From Basic Architecture to Advanced Developments and Visual Perception Applications by Liang Yu, Lin Tang, Lisha Mu

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High-performing neural network models of visual cortex benefit from high latent dimensionality. by Eric Elmoznino, Michael F Bonner

“…A popular view holds that optimal DNNs compress their representations onto low-dimensional subspaces to achieve invariance and robustness, which suggests that better models of visual cortex should have lower dimensional geometries. …”
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Visualizing relative position of two straight lines in space: An exploratory study of the anaglyph in GeoGebra by Tang Minh Dung, Le Thai Bao Thien Trung, Nguyen Thi Nga

“…This study investigates whether Vietnamese students face specific challenges when visualizing skew versus intersecting lines and whether using the anaglyph feature of GeoGebra can help overcome these difficulties. …”
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Illumination Robust Landing Point Visual Localization for Lunar Lander With High-Resolution Map Generation by Xiaohua Tong, Yaxuan Feng, Zhen Ye, Tao Li, Xiong Xu, Huan Xie, Jie Yu, Yubing Jiao, Jia Qian, Genyi Wan, Shijie Liu, Yusheng Xu

“…The issues in landing point visual localization task containing low-resolution reference maps, illumination changes between descent images and maps, and low automation of the localization workflow still need to be solved. …”
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Application of Visual Sensing Image Processing Technology under Digital Twins to the Intelligent Logistics System by Jianjun Miao, Shundong Lan

“…Therefore, a new intelligent logistics distribution management system based on machine vision and visual sensor image processing technology is constructed to respond to the shortcomings of the traditional system, including slow efficiency, huge cost, complex data, and low degree of informatization. …”
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Lacking control over the trade-off between quality and quantity in visual short-term memory. by Alexandra M Murray, Anna C Nobre, Duncan E Astle, Mark G Stokes

“…Visual short-term memory (VSTM) is limited in the quantity and quality of items that can be retained over time. …”
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Visual–Inertial Autonomous UAV Navigation in Complex Illumination and Highly Cluttered Under-Canopy Environments by Leyang Zhao, Weixi Wang, Qizhi He, Li Yan, Xiaoming Li

“…Initially, image enhancement techniques are integrated with neural network-based visual feature extraction. Subsequently, employs a high-dimensional error-state optimizer coupled with a low-dimensional height filter to achieve high-precision localization of the UAV in under-canopy environments. …”
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The edge orientation entropy of natural scenes is associated with infant visual preferences and adult aesthetic judgements. by Philip McAdams, Sara Svobodova, Taysa-Ja Newman, Kezia Terry, George Mather, Alice E Skelton, Anna Franklin

“…Infants and adults both looked longest at images where all edge orientations are about equally likely to occur (high 1st-order EOE), and at images with low correlation of edge orientations across the image (high 2nd-order EOE). …”
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Research on visual digital twin offline fault prediction method for distribution automation terminal equipment by WU Longteng, HE Jianjun, GUO Qian

“…During the actual operation of the distribution system, the directly collected samples may not contain all the fault data, and the collected data is not judged on the abnormality, which makes the fault diagnosis accuracy low. Therefore, in order to improve the accuracy of fault diagnosis, a visual digital twin offline fault prediction method of distribution automation terminal equipment is proposed. …”
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