International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)最新文献_第5页

One-shot deformed face recognition via Siamese neural network 通过连体神经网络进行单次变形人脸识别

International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023) Pub Date : 2024-01-09 DOI: 10.1117/12.3014396

Jay Zhu

{"title":"One-shot deformed face recognition via Siamese neural network","authors":"Jay Zhu","doi":"10.1117/12.3014396","DOIUrl":"https://doi.org/10.1117/12.3014396","url":null,"abstract":"CNN network classes require multiple images per class to train. This makes facial recognition using CNN imprac- tical, as it is often hard to obtain a sufficient number of images of one person. Siamese Networks, on the other hand, uses oneshot learning, meaning that only one input image will be needed to train the network for each person. We build a facial recognition system using Siamese Network. In Siamese Networks, a single image of one person is input, and the network will learn to recognize the person by learning the embedding of the image. The embedding is used to compute a similarity score – similar images will have higher similarity scores. Another image will then be input to the same network, and the system will compare two embeddings to determine whether they contain the same person, giving a true or false output. Using the ORL and LFW dataset, we performed several experiments on multiple aspects of the Siamese Network. We experimented on the Random Erasing function for our augmented data to test the reliability of the network in facial recognition. Results show significant improvement on model accuracy for model trained on random erasing masking. This kind of facial recognition systems is versatile and can be applied to numerous use cases. For example, this kind of system can be used to provide facial recognition for persons with disability that manifests in the deformation of facial features.","PeriodicalId":516634,"journal":{"name":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","volume":"42 1","pages":"129692I - 129692I-8"},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140511981","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

Intelligent road boundary identification method based on image segmentation and edge features 基于图像分割和边缘特征的智能道路边界识别方法

International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023) Pub Date : 2024-01-09 DOI: 10.1117/12.3014460

Hong Li, Norriza Hussin

引用次数: 0

A feasibility study of computer vision-based deformation monitoring for RC columns 基于计算机视觉的 RC 柱变形监测可行性研究

International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023) Pub Date : 2024-01-09 DOI: 10.1117/12.3014399

Yankang Zhai, Alex Hay-Man Ng

引用次数: 0

Rapid magnetic resonance imaging based on one dimensional under-sampling 基于一维欠采样的快速磁共振成像

International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023) Pub Date : 2024-01-09 DOI: 10.1117/12.3014564

Peiyao Sun, Qiyang Gu, Ruitong Wang

{"title":"Rapid magnetic resonance imaging based on one dimensional under-sampling","authors":"Peiyao Sun, Qiyang Gu, Ruitong Wang","doi":"10.1117/12.3014564","DOIUrl":"https://doi.org/10.1117/12.3014564","url":null,"abstract":"This paper introduces a novel approach to accelerate Magnetic Resonance Imaging (MRI) using 1-dimensional undersampling and compressed sensing. By strategically applying under-sampling to rows through a Gaussian distribution, the proposed method aims to reduce the number of samples required for image reconstruction while maintaining image quality. The reconstruction process involves denoising with a Projection Over Convex Sets (POCS) algorithm, optimizing the threshold parameter lambda (λ) for effective denoising and convergence. Simulation results showcase the method’s effectiveness. Reconstructed images at varying under-sampling rates illustrate the gradual reduction of artifacts with increased mid-frequency sampling. The study also explores different lambda settings during reconstruction, highlighting the balance between denoising and convergence. While this approach shows promise for accelerating MRI and other imaging applications, challenges include evaluating alternative \"mask\" matrices and exploring under-sampling patterns beyond Gaussian distribution. The paper concludes by emphasizing compressed sensing’s potential to enhance applications constrained by scan time, fostering optimism for broader adoption.","PeriodicalId":516634,"journal":{"name":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","volume":"175 2","pages":"129691J - 129691J-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140511889","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

Design and implementation of an online length detection device for reconstituted cut tobacco based on machine vision 基于机器视觉的重组切割烟草在线长度检测装置的设计与实施

International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023) Pub Date : 2024-01-09 DOI: 10.1117/12.3014610

Yuxing Tong, Yaowei Xu, Qunshan Yan, Ben Liu, Xiangbin Tang, Song Gao, Ziwei Wang, Dejin Kong

{"title":"Design and implementation of an online length detection device for reconstituted cut tobacco based on machine vision","authors":"Yuxing Tong, Yaowei Xu, Qunshan Yan, Ben Liu, Xiangbin Tang, Song Gao, Ziwei Wang, Dejin Kong","doi":"10.1117/12.3014610","DOIUrl":"https://doi.org/10.1117/12.3014610","url":null,"abstract":"In order to address the drawbacks of using offline and manual methods to measure the length of reconstituted cut tobacco using thick pulp method, an online automatic detection device is designed in the paper. A cut tobacco sampling and spreading out process is designed. Cut tobacco sampling is completed by using a robotic arm. Cut tobacco feeding is completed by simulating the manual shaking movement. A two-stage conveyor belt keeps spreading out tobacco leaves. A tobacco leaves image acquisition device have been designed to collect diluted cut tobacco. A software system has been developed, specifically for the case of a small amount of cross cut tobacco. A stitching algorithm based on sub pixel skeleton contour slope has been proposed to separate a single cut tobacco and facilitate tobacco length detection. The test results indicate that the system has the advantages of automation, online detection, and high measurement accuracy, which can meet the requirements of the production process of reconstituted tobacco leaves.","PeriodicalId":516634,"journal":{"name":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","volume":"100 1","pages":"129692A - 129692A-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140511734","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 UAV path planning based on snake optimization algorithm 基于蛇形优化算法的无人机路径规划研究

International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023) Pub Date : 2024-01-09 DOI: 10.1117/12.3014691

Yan-Ping Fan, Meng-Yao Yao, Lin Li, Kai Yang

引用次数: 0

A self-adaptive tampering detection algorithm based on image segmentation and feature point matching 基于图像分割和特征点匹配的自适应篡改检测算法

International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023) Pub Date : 2024-01-09 DOI: 10.1117/12.3014419

Guokai Wang, Liuping Feng, Lingyi Chi, Yangquan Zhou

引用次数: 0

Experimental study on vortex-induced motion of spar-type floating offshore wind turbine based on image processing technology 基于图像处理技术的拼装式浮式海上风力涡轮机涡激运动实验研究

International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023) Pub Date : 2024-01-09 DOI: 10.1117/12.3014526

Yuhong Wang, haishan xia, Yanghong Xiao, Lei Li

{"title":"Experimental study on vortex-induced motion of spar-type floating offshore wind turbine based on image processing technology","authors":"Yuhong Wang, haishan xia, Yanghong Xiao, Lei Li","doi":"10.1117/12.3014526","DOIUrl":"https://doi.org/10.1117/12.3014526","url":null,"abstract":"Most floating wind turbine foundations consist of single or multiple columns, which are prone to vortex-induced motion (VIM) under the action of uniform flow. VIM is the main reason causing fatigue damage to mooring structures. Exploring the motion response of VIM of the spar-type wind turbine structure, the spar wind turbine foundation was designed as a prototype, and the model was simplified to a cylinder. In this paper, we conducted an experimental study of its model in the circulating water tank based on Matlab image processing technology. The VIM characteristics of the model were discussed by capturing its optical measurement points, and then the structural response amplitude was obtained by using the target tracking method. The study showed that the optical measurement method could effectively monitor the motion response of the structure, and the binary method could better obtain the VIM characteristics of the structure. Meanwhile, it was found that the response amplitude of the cylindrical VIM presents four stages: initial excitation branch, upper branch, lower branch, and desynchronization. It was also revealed that the maximum amplitude was reached in the upper branch, and the locking phenomenon was shown at the reduced velocity 4.96 ≤ Ur ≤ 7.11.","PeriodicalId":516634,"journal":{"name":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","volume":" 3","pages":"1296910 - 1296910-5"},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139640399","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

Safety risk assessment method of key personnel in infrastructure projects based on image data coupling identification 基于图像数据耦合识别的基建项目关键人员安全风险评估方法

International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023) Pub Date : 2024-01-09 DOI: 10.1117/12.3014393

Xiaodong Wang, Linyu Zhang, Zhiqiang Xu, Hui Xiao, Lixuan Guo

{"title":"Safety risk assessment method of key personnel in infrastructure projects based on image data coupling identification","authors":"Xiaodong Wang, Linyu Zhang, Zhiqiang Xu, Hui Xiao, Lixuan Guo","doi":"10.1117/12.3014393","DOIUrl":"https://doi.org/10.1117/12.3014393","url":null,"abstract":"In the course of work, people are easily affected by the complexity of the environment, so it is difficult to ensure the assessment of personnel safety risks. In view of this situation, a safety risk assessment method of key personnel in infrastructure projects based on image data coupling identification is proposed. Under the coupling recognition of image data, a comprehensive evaluation model is established by combining dynamic graph reasoning technology, and the relevant signals of the working environment of key personnel in infrastructure projects are extracted from the model, and images are obtained on the projection surfaces of the left terminal and the right terminal, so as to locate the positions of key personnel in infrastructure projects and realize the safety risk assessment of key personnel in infrastructure projects. The experimental results show that the average channel collision rate of the proposed method is low, which can greatly improve the accuracy of dangerous action identification and has good performance and effect.","PeriodicalId":516634,"journal":{"name":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","volume":"32 3","pages":"129690F - 129690F-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140511369","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

UAV transmission line transfer-acceptance technology based on vision 基于视觉的无人机传输线传输接收技术

International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023) Pub Date : 2024-01-09 DOI: 10.1117/12.3014392

Sijiang Zhang, Zhengfa Li, Linke Huang, Kangwei Jia, Dongsheng Zhang

引用次数: 0