International Conference on Artificial Intelligence, Virtual Reality, and Visualization最新文献_第4页

Real-time visual monitoring system and method of coal spontaneous combustion temperature field in goaf area 采空区煤自燃温度场实时可视化监测系统与方法

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667194

Zhen Xing

引用次数: 0

Harnessing transfer learning for Alzheimer's disease prediction 利用迁移学习预测阿尔茨海默病

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667247

Yukun Liu, Chengxuan Zheng, Baha Ihnaini

引用次数: 0

Semantic enhancement methods for image captioning 图像字幕的语义增强方法

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667270

Luming Cui, Lin Li

引用次数: 0

Research and application of template matching algorithm based on edge contour 基于边缘轮廓的模板匹配算法研究与应用

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667677

Zhuoxin Liu, Ji Zhang, Kaibin Chu

引用次数: 0

An enhanced grammatical approach for graph drawing 图形绘制的增强语法方法

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667201

Yufeng Liu, Yangchen Zhou, Fan Yang, Hongliang Sun

{"title":"An enhanced grammatical approach for graph drawing","authors":"Yufeng Liu, Yangchen Zhou, Fan Yang, Hongliang Sun","doi":"10.1117/12.2667201","DOIUrl":"https://doi.org/10.1117/12.2667201","url":null,"abstract":"With the development of computer-aided design, visual languages have been widely used as formal methods to represent various types of graphical models. Accordingly, many grammar systems have been proposed for the specification of visual languages. However, apart from shape grammar, most grammars focus on the abstract structures of the languages and ignore the semantic modeling of graph drawing. Furthermore, shape grammar supports generation rather than parsing, with its limited application scope. To address these problems, this paper proposes an enhanced grammar system based on Coordinate Graph Grammar (CGG). Different from traditional grammars, the enhanced system defines a new type of grammatical rule named shape rules to transform graphs into shapes by shape applications. In each shape application, the assertion set describes the range of validity, and shapes can be generated by translation, zoom, and rotation to a set of rule-based coordinates. With the combinations of shape applications and L-applications, the node-edge graph and drawn outline could both be specified, building a bridge between abstract structures and physical layouts of visual languages. An example is given to illustrate the application of the enhanced system in industrial design, where a Bauhaus-style baby cradle is generated by the combination of shape applications and L-applications.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122903008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Visualization of planning spaces in virtual reality 虚拟现实中规划空间的可视化

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667202

Haiwei Zuo, Wanghui Chu, Bo Yang

{"title":"Visualization of planning spaces in virtual reality","authors":"Haiwei Zuo, Wanghui Chu, Bo Yang","doi":"10.1117/12.2667202","DOIUrl":"https://doi.org/10.1117/12.2667202","url":null,"abstract":"The use of virtual reality (VR) in urban area planning is examined in this dissertation. There are numerous allusions to Openstreetmap's urban building data. This VR technology allows users to enter a virtual environment using an input device (HTC Vive). Without actually carrying out the plan, the effectiveness of urban planning can be tested beforehand. VR will become more crucial in urban area planning, boosting urban construction, and assisting critical individuals in making decisions. There were three primary tasks for this project: First task: Create a 3D urban model using the OpenStreetMap map file. Unreal Engine 4 has imported a file with an OSM map (UE4). A data stream has been created to convert OSM files to UE4 uasset files, according to StreepMap and the RuntimeMeshComponent plugin. Second task: Create an overview mode. Users can highlight various items with various features on the overview map in this mode, including different building levels, the top speed limit, hotel star ratings, amenity categories, and retail categories. Third task: Create a VR mode. A virtual environment has been developed to enhance immersion and user experience. The HTC VIVE controller allows users to explore city maps independently. A new interactive interface has been created for this project. With the aid of this method, urban planning initiatives can be pretested before being put into action. Contributions to science: This project's main contribution is developing an application to aid pertinent staff members in managing and planning urban data. Based on this research, urban spatial planning could cut costs by using virtual reality 3D modeling, data integration, and VR interaction.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122002911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on identity authentication and labeling technology based on MR neural network 基于MR神经网络的身份认证与标识技术研究

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667283

Hao Yang, Chuan-qian Tang

{"title":"Research on identity authentication and labeling technology based on MR neural network","authors":"Hao Yang, Chuan-qian Tang","doi":"10.1117/12.2667283","DOIUrl":"https://doi.org/10.1117/12.2667283","url":null,"abstract":"Aiming at the problems of poor convenience, poor scalability, and low authentication rate in traditional authentication technology using physical contact authentication methods such as magnetic cards and passwords, this paper explores the accuracy and convenience of the practical application of MR neural network in personal identity authentication. In the MR wearable device, the neural network person identity authentication method is studied flexibly and quickly to detect and identify the person. The 3D information of the face is collected and preprocessed by the depth camera, and the MR identity authentication data set is established. The neural network Resnet model is used for face detection and face feature vector extraction, and the Euclidean method is used to compare the feature vectors and label the characters. The neural network authentication algorithm is mapped to the MR wearable device, and the deep face information in the scene is identified, matched, and labeled by using the unique spatial mapping of MR technology and the camera of the MR wearable device. It solves the problems of low flexibility, poor reliability of face information, and weak recognition stability in traditional identity authentication methods, enabling MR technology to provide a more intelligent identification and labeling method for person identity authentication.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131596935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Typical wire clamps segmentation of transmission lines based on infrared image 基于红外图像的传输线典型线钳分割

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667507

Ding-Kuo Huang, Jie Yang, Yunfeng Yan, Xiangwei Sun, Xiaoming Huang

{"title":"Typical wire clamps segmentation of transmission lines based on infrared image","authors":"Ding-Kuo Huang, Jie Yang, Yunfeng Yan, Xiangwei Sun, Xiaoming Huang","doi":"10.1117/12.2667507","DOIUrl":"https://doi.org/10.1117/12.2667507","url":null,"abstract":"In view of the current image segmentation field, there are few studies on the segmentation of typical wire clamp components of transmission lines. Traditional image processing methods have low segmentation accuracy and require artificial design of feature extraction methods, which are usually only suitable for equipment of a certain structure with insufficient generalization. In this paper, an infrared image segmentation method based on Mask R-CNN (Mask region-based convolutional neural network) for typical guide-ground lines is proposed. Its structure takes Mask R-CNN model combined with FPN (Feature pyramid structure) as the basic framework, and uses RPN (Regional proposal network) to generate candidate regions. Features are extracted from each candidate region through RoI Align layer, and then connected to FC (Fully connected layer) to achieve target classification and bbox (bounding box) regression. A mask branch is also added to predict the segmentation mask. The design can integrate multi-scale and multi-level semantic information to improve the recognition rate when extracting image features. In addition, the network structure is optimized by single channel for infrared images to reduce the size of the model and make it more lightweight. Ablation experiments were performed on two GTX 2080Ti graphics cards to verify the effectiveness of the proposed structure, and the mAP (mean average accuracy) of 0.421 was achieved with an IoU (Intersection over Union) threshold of 0.5.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134115249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Measurement error detection method of electric energy meter based on machine vision 基于机器视觉的电能表测量误差检测方法

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667641

Zhen Gu, Da-rong Chen, J. Wang, Chen Dai, Gewei Zhuang

引用次数: 0

Heterogeneous models ensemble for Chinese grammatical error correction 汉语语法错误纠错的异构模型集成

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667512

Yeling Liang, Lin Li

引用次数: 1