International Conference on Artificial Intelligence, Virtual Reality, and Visualization最新文献_第2页

Upernet optimisation and application to mousehole segmentation 超级优化及其在鼠孔分割中的应用

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667353

Kai Li, Bingming Tang, Haiyang Li, Yunpeng Jin, Jieteng Jiang, L. Chunmei

引用次数: 0

AR-assisted intelligent analysis and identification system for mobile vegetables diseases based on HOG-SVM 基于HOG-SVM的ar辅助移动蔬菜病害智能分析识别系统

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2668866

Chao Ma, Linyi Li, Yunsheng Wang, Yong Liu, Shipu Xu

{"title":"AR-assisted intelligent analysis and identification system for mobile vegetables diseases based on HOG-SVM","authors":"Chao Ma, Linyi Li, Yunsheng Wang, Yong Liu, Shipu Xu","doi":"10.1117/12.2668866","DOIUrl":"https://doi.org/10.1117/12.2668866","url":null,"abstract":"Aiming at the shortcomings of traditional disease recognition systems that require high shooting environment and large number of samples, this research designs a set of AR-assisted recognition schemes based on HOG-SVM. Under the premise of a small amount of material, due to the introduction of AR technology in the diagnostic system to assist shooting, this solution is better than other methods in terms of training time, recognition speed and average accuracy. Taking the Android terminal as an example, an AR-assisted HOG-SVM-based mobile vegetables disease identification system is implemented, which can quickly identify diseases and guide users to improve the quality of photographed pictures. Through the identification of disease spots in batches of images, the results of disease spot recognition are analyzed from the three aspects of disease accuracy, diseased leaf detection rate and disease spot location accuracy. Finally, AR technology and rapid identification scheme based on HOG-SVM are obtained. The combination can give faster training results and recognition results under the premise of small training samples. Its average accuracy is also higher than deep models such as YOLO v3, SSD 512, and Fast R-CNN. It is a more suitable method for disease identification on the current mobile terminal.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"52 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":"127875878","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

Detection of secondary school circuit experiment equipment based on improved YOLOX 基于改进YOLOX的中学电路实验设备检测

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667268

Ming Liang, Lijiao Liu, Yuan Zhang

引用次数: 0

Sentiment analysis of 2021 Canadian election tweets 2021年加拿大大选推文情绪分析

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667211

Haojie Zhu

引用次数: 1

Skeleton-based human motion prediction via spatio and position encoding transformer network 基于空间和位置编码变压器网络的骨骼运动预测

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667366

Lingchao Mi, Rui Ding, Xiaodong Zhang

引用次数: 1

Visualization of the dynamic changes of Zhaling Lake in the past 45 years 45年来扎陵湖动态变化的可视化

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667243

Lujia Li, Shenglin Geng, Mingquan Zhou, Suxin Song

{"title":"Visualization of the dynamic changes of Zhaling Lake in the past 45 years","authors":"Lujia Li, Shenglin Geng, Mingquan Zhou, Suxin Song","doi":"10.1117/12.2667243","DOIUrl":"https://doi.org/10.1117/12.2667243","url":null,"abstract":"Zhaling Lake is the first lake at the source of the Yellow River. The morphology of Zhaling Lake has changed frequently in recent decades. We conducted a visual analysis of Landsat remote sensing images and weather station observations in Maduo County from 1976-2021. We derived the space-time evolution of Zhaling Lake shoreline and area change trends. This paper obtained the basic characteristics such as the area and shoreline of Zhaling Lake by using water index and visual interpretation. Based on these basic characteristics, we calculated other shoreline characteristics. We analyze the morphological, meteorological, and other data characteristics of Zhaling Lake by visualization method. Research results show that the area of Zhaling Lake is highly variable. Its overall change shows a cyclic trend of recession-expansion-recession. A significant shrinkage of Zhaling Lake occurred from 1976 to 1986, from 544.177 km2 to 537.32 km2. Between 1986 and 1993, Zhaling Lake gradually expanded, adding 9.541 km2. During 1993-2019, the area of Zhaling Lake showed a continuous trend of increase. In 2019, Zhaling Lake reached the largest area of 555.368 km2 in nearly 45 years. During 2019-2021, Zhaling Lake begins to shrink slightly again. In 2021, Zhaling Lake's area shrinks to 549.41km2.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"67 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":"127213674","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 facial landmark detection algorithm based on improved attention mechanism 基于改进注意机制的人脸地标检测算法研究

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667327

Xinyi Cui, Tianwei Shi, Wenhua Cui, Ye Tao

引用次数: 0

VIO-wheel-stereo mapping: an indoor room structure mapping system using monocular camera, IMU, wheel odometry and stereo VIO-wheel-stereo mapping:一种利用单目相机、IMU、wheel odometry和stereo的室内房间结构测绘系统

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667644

Xin Li, Kaibin Chu, Ji Zhang, Tingting Hao

{"title":"VIO-wheel-stereo mapping: an indoor room structure mapping system using monocular camera, IMU, wheel odometry and stereo","authors":"Xin Li, Kaibin Chu, Ji Zhang, Tingting Hao","doi":"10.1117/12.2667644","DOIUrl":"https://doi.org/10.1117/12.2667644","url":null,"abstract":"This paper proposes an indoor house structure mapping system, which mainly studies the SLAM positioning, laser depth binocular camera locally built figure, robot path planning, and other issues. And the three-dimensional indoor autonomous robot is built based on called VINS system. With wheel odometry and sensor fusion, this paper realizes the robot chassis indoor high-precision positioning, indoor autonomous robots scanning walls. Finally, through the integration of several modules, the chassis robot can achieve the function of indoor independent three-dimensional drawing. This system is successfully applied on a 4-wheel mecanum small car. I take a 20 square meters underground parking lot in as the experiment area. The test shows that the system of displacement drift error within 2% and the ratio of the overall path, room-built figure area error within 3%, loopback positioning error is less than 0.1 m, the robot can work independently to complete the building figure. In the end, the system is evaluated and a commercial indoor 3D drawing scheme is proposed.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"17 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":"133380293","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

New energy micro training and mobile office application based on 5G 基于5G的新能源微培训及移动办公应用

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667347

Changle Yu, Suofei Zhang, Yongfei Yi, H Zhao, Yanchen Ji

引用次数: 0

Region of interest image encryption method based on panoramic segmentation and a novel coupled chaotic map 基于全景分割和一种新的耦合混沌映射的感兴趣区域图像加密方法

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667339

Hangming Zhang, Hanping Hu

{"title":"Region of interest image encryption method based on panoramic segmentation and a novel coupled chaotic map","authors":"Hangming Zhang, Hanping Hu","doi":"10.1117/12.2667339","DOIUrl":"https://doi.org/10.1117/12.2667339","url":null,"abstract":"Social media is a platform for people to share their lives and interact with others. Image sharing is an integral component. Privacy information will inevitably be compromised during the process of sharing whole photos. Sometimes, it is not even caused by the person who shares the image but the third party who forwards the image. In the majority of cases, we do not attempt to protect the entirety of the media; rather, we seek to protect the most crucial portion, whether it is the background or specific objects, which decreasing superfluous cryptography procedures. Unfortunately, current research on such field is extremely rare. In this research, we established a novel pixel-level image encryption technique relying on Panoptic FCN panoramic segmentation and chaos for client-intended images on social media sites. Our suggested technology is capable of automated picture encryption on either the whole images or user-selected areas, whether they are rectangular or irregular, which is suited for all region of interest (ROI) encryption. Relying on a novel coupled chaotic map, this universal new encryption method flattens the array of the image ROI into a series of pixels. The module of Panoptic FCN can be replaced by any other panoptic segmentation models which are stronger in performance. Statistical and cryptographic evaluations demonstrate that our technique preserves the high efficiency for practical applications.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"65 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":"127112351","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