Image Classification and Annotation Based on Hadoop Cloud Computing Platform by Jiyuan Lu, Chenghui Huang, Fang Hou, Bin Li

Subjects: “…cloud computing;training set extraction;support vector machine;visual feature extraction…”
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A Review of Visual Estimation Research on Live Pig Weight by Zhaoyang Wang, Qifeng Li, Qinyang Yu, Wentai Qian, Ronghua Gao, Rong Wang, Tonghui Wu, Xuwen Li

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About simulation environment for modeling the Internet of Things components and applications using visual flow-based programming tools and cloud services by A. A. Andrushevich, I. S. Vojteshenko, O. Ju. Emelianova

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Towards Real-Time Spatial Distance Monitoring of Power Transmission Lines Using LiDAR Point Clouds and Visual Imaging by Li Zhendong, Wang Feiran, Han Geng, Guo Xinyang, Shi Zhaoyang

“…Classic inspection approaches like ground surveys by manual methods and visual inspections by drones are time-consuming, costly, and susceptible to human error. …”
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Optimal attractants to increase visits by clouded leopards to remote‐camera sets by Dawn Tanner, Patrick Zimmerman

Subjects: “…clouded leopards…”
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Knowledge Mapping of Cloud-Aerosol LIDAR and Infrared Pathfinder Satellite Observations Aerosol Research: A Visual Analysis Using CiteSpace by Chengyu Hu, Rui Zhang, Hwee San Lim, Yuanjun Zhang, Huan Du

“…The Cloud-Aerosol LIDAR and Infrared Pathfinder Satellite Observations (CALIPSO) satellite was launched in 2006 and concluded its mission in August 2023 after 17 years of dedicated service. …”
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A smart walking stick with voice guidance in an African language for visually impaired persons by Abisola Olayiwola, Wasilat Olayode, Temiloluwa Akintayo, Ajibola Oyedeji, Dare Olayiwola, Martins Osifeko, Olatilewa Abolade

“…This work demonstrates the viability of integrating cloud-based machine learning into assistive devices for visually impaired users. …”
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Unsupervised Visual-to-Geometric Feature Reconstruction for Vision-Based Industrial Anomaly Detection by Dinh-Cuong Hoang, Phan Xuan Tan, Anh-Nhat Nguyen, Duc-Thanh Tran, Van-Hiep Duong, Anh-Truong Mai, Duc-Long Pham, Khanh-Toan Phan, Minh-Quang Do, Ta Huu Anh Duong, Tuan-Minh Huynh, Son-Anh Bui, Duc-Manh Nguyen, Viet-Anh Trinh, Khanh-Duong Tran, Thu-Uyen Nguyen

“…To overcome this, we propose a novel framework for unsupervised industrial anomaly detection that leverages both visual and geometric information. Specifically, we use pre-trained 2D and 3D models to extract visual features from color images and geometric features from 3D point clouds. …”
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Material Visual Perception and Discharging Robot Control for Baijiu Fermented Grains in Underground Tank by Yan Zhao, Zhongxun Wang, Hui Li, Chang Wang, Jianhua Zhang, Jingyuan Zhu, Xuan Liu

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High resolution spatial documentation of Renaissance church interiors through multiple non-invasive survey techniques by Elena Pomar, Stephen Kay, Veronica Castignani, Donal Cooper

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Robotic manipulation via the assisted 3D point cloud of an object in the bin-picking application by Duc Minh Phan, Ha Quang Thinh Ngo

Subjects: “…3d point cloud…”
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A Unified Virtual Model for Real-Time Visualization and Diagnosis in Architectural Heritage Conservation by Federico Luis del Blanco García, Alejandro Jesús González Cruz, Cristina Amengual Menéndez, David Sanz Arauz, Jose Ramón Aira Zunzunegui, Milagros Palma Crespo, Soledad García Morales, Luis Javier Sánchez-Aparicio

“…The project results demonstrate that the use of a hybrid digital model—combining 3D point clouds, polygonal meshes, and panoramic images—is highly effective for real-time rendering, providing detailed visualization while maintaining adaptability for mobile devices with limited computational power.…”
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SemABC: Semantic-Guided Adaptive Bias Calibration for Generative Zero-Shot Point Cloud Segmentation by Yuyun Wei, Meng Qi

“…Existing generative point cloud semantic segmentation approaches rely on generators trained on seen classes to synthesize visual features for unseen classes in order to help the segmentation model gain the ability of generalization, but this often leads to a bias toward seen classes. …”
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PTFNet: Robotic-Relevant, Single-View Obstacle Footprint Estimation From Sparse and Incomplete Point Clouds by Konrad P. Cop, Tomasz P. Trzcinski

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Spatial State Analysis of Ship During Berthing and Unberthing Process Utilizing Incomplete 3D LiDAR Point Cloud Data by Ying Li, Tian-Qi Wang

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Automated image acquisition system for visual inspection with positioning error correction by Toma TANIGUCHI, Hidenori NAKATSUJI, Isamu NISHIDA

Subjects: “…visual inspection…”
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Cloud Trustworthiness Evaluation as a cloud service:architecture,key technologies and implementations by Chuan-yi LIU, He-zhong PAN, Lu-lu LIANG, Guo-feng WANG, Bin-xing FANG

“…A ＂big clouds audited by a small cloud＂ scheme was proposed,by introducing an independent trusted third party (TTP) dealing with run-time data collection,verification,audit and evaluation remotely,in a continuous and data-driven model,compared with traditionally certification based audit.The TTP mainly adopts data flow visualization,data monitoring and encryption to protect the rights of users.It provides the basis for users to choose a trusted cloud platform and for cloud platform to prove own trusted credentials.In-depth study,the following key technologies were broken through:1) the introduction of an independent trusted third party as an intermediate layer between cloud platform and users as well as administrators; 2) continuous,real-time remote data collection and data analysis; 3) strong non-intrusive evidence gathering.…”
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Small Object Tracking in LiDAR Point Clouds: Learning the Target-Awareness Prototype and Fine-Grained Search Region by Shengjing Tian, Yinan Han, Xiantong Zhao, Xiuping Liu

Subjects: “…point clouds…”
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An Improved SLAM Algorithm for Substation Inspection Robots Based on 3D Lidar and Visual Information Fusion by Yicen Liu, Songhai Fan

“…Second, the laser position and visual position are utilized with interpolation to correct the point cloud distortion caused by the motion of the Lidar. …”
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Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds by Cop Konrad, Sułek Bartosz, Trzciński Tomasz

Subjects: “…deep learning for visual perception…”
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