Proceedings of the 32nd International Conference on Computer Graphics and Vision最新文献

Generation and Study of the Synthetic Brain Electron Microscopy Dataset for Segmentation Purpose 用于分割目的的合成脑电子显微镜数据集的生成与研究

Proceedings of the 32nd International Conference on Computer Graphics and Vision Pub Date : 2023-10-01 DOI: 10.20948/graphicon-2022-706-714

N. Sokolov, E. Vasiliev, A. Getmanskaya

引用次数: 0

Usage of Scenario Based Modeling Automation in Optics CAD Systems 基于场景的建模自动化在光学CAD系统中的应用

Proceedings of the 32nd International Conference on Computer Graphics and Vision Pub Date : 1900-01-01 DOI: 10.20948/graphicon-2022-55-63

M. Kopylov

{"title":"Usage of Scenario Based Modeling Automation in Optics CAD Systems","authors":"M. Kopylov","doi":"10.20948/graphicon-2022-55-63","DOIUrl":"https://doi.org/10.20948/graphicon-2022-55-63","url":null,"abstract":"This article describes approaches to the use of scenarios in the automation of applied tasks within the framework of working with a software complex of optical modeling and photorealistic computer graphics. Optical modeling complex should include support for scripting, since conventional tools, such as those provided using a graphical user interface, are usually not enough to perform a variety of tasks that arise in practice. A brief overview of existing solutions is made. Methods are proposed that ensure effective bringing of scenario support into an existing optical modeling system. These methods provide full access from scripts to system modules, including computational modules, various simulator modules, etc. Both trivial scripts containing ordinary command sequences and more complex ones using the capabilities of high-level scripting languages such as Python are supported. Separately, a special high-level API is considered which is used for the interaction between of scripts written in the Python language and the optical modeling system. This API can also be used to extend the capabilities of the system with new parametric objects. The specialized software modules integrated into the optical modeling system, such as the batch interpreter, script interpreter and editor, extension class editor, are considered in detail. Examples of scenario-based modeling automation are given.","PeriodicalId":299055,"journal":{"name":"Proceedings of the 32nd International Conference on Computer Graphics and Vision","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126153810","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

Augmenting Histological Images with Adversarial Attacks 利用对抗性攻击增强组织学图像

Proceedings of the 32nd International Conference on Computer Graphics and Vision Pub Date : 1900-01-01 DOI: 10.20948/graphicon-2022-637-647

Nikita Djeffrievich Lockshin, A. Khvostikov, A. Krylov

引用次数: 1

Competency-based Approach in Expert-heuristic Evaluation of Graphical User Interfaces 基于能力的专家启发式图形用户界面评价方法

Proceedings of the 32nd International Conference on Computer Graphics and Vision Pub Date : 1900-01-01 DOI: 10.20948/graphicon-2022-1175-1185

U. Khaleeva

引用次数: 0

Noise Level Estimation in Images Using Haar Wavelets 基于Haar小波的图像噪声估计

Proceedings of the 32nd International Conference on Computer Graphics and Vision Pub Date : 1900-01-01 DOI: 10.20948/graphicon-2022-442-448

A. Pronkin

引用次数: 0

Applying Stereo Animations to Autostereoscopic Monitors in Various Fields of Research 立体动画在各个研究领域的应用

Proceedings of the 32nd International Conference on Computer Graphics and Vision Pub Date : 1900-01-01 DOI: 10.20948/graphicon-2022-431-440

S. Andreev, A. Bondarev, N. A. Bondareva, A.V. Bondarenko

引用次数: 0

Visualization Subsystem of the Software Package for Searching People and Vehicles Using Unmanned Aerial Vehicles 无人机搜索人车软件包可视化子系统

Proceedings of the 32nd International Conference on Computer Graphics and Vision Pub Date : 1900-01-01 DOI: 10.20948/graphicon-2022-1102-1114

D. Bulatitskiy, A. Selifontov

{"title":"Visualization Subsystem of the Software Package for Searching People and Vehicles Using Unmanned Aerial Vehicles","authors":"D. Bulatitskiy, A. Selifontov","doi":"10.20948/graphicon-2022-1102-1114","DOIUrl":"https://doi.org/10.20948/graphicon-2022-1102-1114","url":null,"abstract":"Unmanned aerial vehicles (UAVs) can be used to improve the efficiency of searching for missing people and vehicles in the natural environment. However, the use of UAVs alone may not be enough. To get a tangible effect, the authors of the article are developing a software package that includes a neural network core for processing images from UAVs, a web interface for the coordinator of the search operation and a mobile application for members of search groups working on the ground. The article substantiates the importance of the visualization subsystem for the software package being developed. The data output for the coordinator of the search operation and the participants of the search groups working on the ground are systematized. The following types of data are highlighted: information about the search area and the search targets; information about the image sets from flights and about image analysis; information about the participants of the search operation; information about the progress of the search operation; data about the search operation for a member of the search group; data on the results of search operations. Approaches to visualization of the listed data are described, interface elements for their visualization are selected and developed. Improvements to the software package are proposed and implemented considering the requirements for visualization.","PeriodicalId":299055,"journal":{"name":"Proceedings of the 32nd International Conference on Computer Graphics and Vision","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126381872","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

Providing Decision Support in Career Guidance Through the use of Machine Vision 利用机器视觉为职业指导提供决策支持

Proceedings of the 32nd International Conference on Computer Graphics and Vision Pub Date : 1900-01-01 DOI: 10.20948/graphicon-2022-1027-1038

Iuliia Tarasova, V. V. Andreev, A. Chechin, Denis V. Toskin

{"title":"Providing Decision Support in Career Guidance Through the use of Machine Vision","authors":"Iuliia Tarasova, V. V. Andreev, A. Chechin, Denis V. Toskin","doi":"10.20948/graphicon-2022-1027-1038","DOIUrl":"https://doi.org/10.20948/graphicon-2022-1027-1038","url":null,"abstract":"This paper is devoted to the review of the results of the development and implementation of the ColorUnique Pro career guidance software package in the career guidance activities of higher educational institutions. The review begins with the initial formulation of the problem, justification of the use of neural networks as the basis of one of the classifiers, consideration of the results of experiments and then – the introduction of a software package. At the end of the article, prospects for further research are described, such as the creation of a three-dimensional map of types and subtypes and the further identification of new subtypes. The possibility of using additional methods of analysis, detection and classification is also being considered in order to study the influence on the definition of ISA of such features of the images obtained as «demonstrative» and «true» structures, as well as the presence of a «background» that does not contain characteristic elements. In addition to neural networks, the authors also used the «sliding» window image processing method, as a result, the software package includes two classifiers that analyze images separately, however, in the future, the results of the analysis of both classifiers are compared by an expert, since some subtypes can only be determined by joint interpretation.","PeriodicalId":299055,"journal":{"name":"Proceedings of the 32nd International Conference on Computer Graphics and Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130024779","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: 1

Optical-information Method of Detection of Unmanned Aircraft by a Robotic Optical-electronic System 基于机器人光电系统的无人机光信息检测方法

Proceedings of the 32nd International Conference on Computer Graphics and Vision Pub Date : 1900-01-01 DOI: 10.20948/graphicon-2022-548-558

V. Smolin, I. Yakimenko, D.S. Rasskaza

{"title":"Optical-information Method of Detection of Unmanned Aircraft by a Robotic Optical-electronic System","authors":"V. Smolin, I. Yakimenko, D.S. Rasskaza","doi":"10.20948/graphicon-2022-548-558","DOIUrl":"https://doi.org/10.20948/graphicon-2022-548-558","url":null,"abstract":"The informativeness of the operating spectral ranges of optoelectronic detection systems for unmanned aircraft is considered. The conducted studies have shown that the spectral range of 3 – 5 microns, due to the absence of powerful radiation sources in unmanned aircraft, has significantly lower radiation power compared to the spectral range of 8 – 13 microns. As an alternative to the range of 3 – 5 microns, a range of 1.2 - 1.7 microns is proposed. The proposed near–infrared range can complement the use of a range of 8 - 13 microns in daytime conditions, which, along with the development of new detection methods based on the background principle, will increase the detection efficiency of unmanned aircraft. A contrast method has been developed based on the background detection principle. A distinctive feature of the contrast method is the splitting of the frame into segments. The segment size corresponds to the size of the inhomogeneities of the atmosphere. A contrast algorithm for detecting unmanned aircraft is considered. The probability of detecting small-sized objects was calculated using the developed method. The developed contrast method is compared with existing methods. The advantage of the developed contrast method in comparison with the investigated ones is revealed. The detection range of unmanned aircraft has increased by 10%.","PeriodicalId":299055,"journal":{"name":"Proceedings of the 32nd International Conference on Computer Graphics and Vision","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131122072","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: 1

The Problems of Analyzing the Dependence of the Sizes of Structural Components of Samples Synthesized by the 3DMP Method on the Strategy of Wave Thermal Deformation Hardening 3DMP法合成样品结构部件尺寸对波浪热变形硬化策略的依赖性分析问题

Proceedings of the 32nd International Conference on Computer Graphics and Vision Pub Date : 1900-01-01 DOI: 10.20948/graphicon-2022-1020-1026

A. Kirichek, S. Fedonina

{"title":"The Problems of Analyzing the Dependence of the Sizes of Structural Components of Samples Synthesized by the 3DMP Method on the Strategy of Wave Thermal Deformation Hardening","authors":"A. Kirichek, S. Fedonina","doi":"10.20948/graphicon-2022-1020-1026","DOIUrl":"https://doi.org/10.20948/graphicon-2022-1020-1026","url":null,"abstract":"The problems of analysis of metallographic images and the way to solve them using modern software for the analysis of metallographic images are described. In this paper, we consider the problem of analyzing the microstructure of parts obtained as a result of alternating surfacing operations by the 3DMP method and wave thermal deformation hardening (HTSH), based on the expansion of the technological capabilities of the previously known wave work hardening (WSH). The analysis of the characteristic dimensions of the structural components of the synthesized samples, hardened according to different strategies of HTFS, is carried out in the SIAMS software package in the \"Multi-phase analysis\" section. A brief explanation of the features of using the software for a particular case is given. As a result of metallographic studies using the SIAMS software of the microstructure of parts obtained as a result of alternating surfacing operations by the 3DMP method and HTDU, the characteristic sizes of particle colonies and fine particles of crushed dendrites in each deposited layer were determined, and the nature of the distribution of structural components over the cross section of the samples in the direction of surfacing was revealed.","PeriodicalId":299055,"journal":{"name":"Proceedings of the 32nd International Conference on Computer Graphics and Vision","volume":"28 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132869551","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