Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2最新文献

Image-based System for 3D Visualization of Flow in Hydrodynamic Tunnel 基于图像的水动力隧道流动三维可视化系统

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-3-14

V. Knyaz, Michail Novikov, V. Kniaz, V. Mizginov, Eugeny Ippolitov

{"title":"Image-based System for 3D Visualization of Flow in Hydrodynamic Tunnel","authors":"V. Knyaz, Michail Novikov, V. Kniaz, V. Mizginov, Eugeny Ippolitov","doi":"10.51130/graphicon-2020-2-3-14","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-3-14","url":null,"abstract":"Aircraft safety depends on wing flow process, so the study of air flow in different flight conditions is one of the most important parts of aircraft design and exploiting. The effective method of aerodynamic processes modeling is experiment in wind (aerodynamic) tunnel or water (hydrodynamic) tunnel. They allow to perform experiments with a scaled model of an aircraft affected by icing and to visualize the wing flow process and changes caused by icing. A visualization and video registration of the wing flow yields useful qualitative information about flow, but it is more important to retrieve quantitative 3D data of flow for 3D visualization and analysis. The presented study addresses to creating an image-based system for accurate 3D flow acquisition for further diverse 3D visualization and quantitate evaluation of 3D flow parameters in a hydrodynamic tunnel for aircraft icing influence exploration. Being an initial part of a long- term research project, this study is aimed at developing stereolithography (SLA) modeling technique for flow visualization in hydrodynamic tunnel and a photogrammetric system for accurate flow 3D caption. The results of first experiments of the system calibration and application are given along with preliminary results of flow jets 3D reconstruction.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":" 19","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120984535","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

Edge Detection and Machine Learning Approach to Identify Flow Structures on Schlieren and Shadowgraph Images 纹影和阴影图像流结构识别的边缘检测和机器学习方法

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-3-15

I. Znamenskaya, I. Doroshchenko, D. Tatarenkova

{"title":"Edge Detection and Machine Learning Approach to Identify Flow Structures on Schlieren and Shadowgraph Images","authors":"I. Znamenskaya, I. Doroshchenko, D. Tatarenkova","doi":"10.51130/graphicon-2020-2-3-15","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-3-15","url":null,"abstract":"Schlieren, shadowgraph and other types of refraction-based techniques have been often used to study gas flow structures. They can capture strong density gradients, such as shock waves. Shock wave detection is a very important task in analyzing unsteady gas flows. High-speed imaging systems, including high-speed cameras, are widely used to record large arrays of shadowgraph images. To process large datasets of the high-speed shadowgraph images and automatically detect shock waves, convective plumes and other gas flow structures, two computer software systems based on the edge detection and machine learning with convolutional neural networks (CNN) were developed. The edge-detection software utilizes image filtering, noise removing, background image subtraction in the frequency domain and edge detection based on the Canny algorithm. The machine learning software is based on CNN. We developed two neural networks working together. The first one classifies the image dataset and finds images with shock waves. The other CNN solves the regression task and defines shock wave position (single number) based on image pixels tensor (3-D array of numbers) for each image. The supervised learning code based on example input-output pairs was developed to train models. It was shown, that the machine learning approach gives better results in shock wave detection accuracy, especially for low-quality images with a strong noise level. Software system for automated shadowgraph images processing and x-t curves of the shock wave and convective plume movement plotting was developed.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121050717","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: 9

Some Aspects of a Client-Server Architecture System for Processing Radar Images 用于雷达图像处理的客户机-服务器体系结构系统的几个方面

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-3-43

E. Chernetsova, T. Tatarnikova

{"title":"Some Aspects of a Client-Server Architecture System for Processing Radar Images","authors":"E. Chernetsova, T. Tatarnikova","doi":"10.51130/graphicon-2020-2-3-43","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-3-43","url":null,"abstract":"This article discusses some aspects of a client-server architecture system designed to process radar images. It is assumed that data obtained remotely are processed to determine oil pollution on the water surface. The synthesis of monochrome images and the infological model of the system are considered. The developed application provides the ability to preview the image, forming a graphic file from satellite data; implements functions that allow you to annotate images, marking areas of interest and adding comments; implements, if necessary, an algorithm for merging monochrome images; implements a keyword support system that allows flexible categorization of all images; provides the necessary level of information security through the separation of user rights and authorization systems. The developed software product allows access to files stored in the GIS database archive in real time simultaneously by a large number of users, i.e. represents its network (web) application. The software product contains three levels: a user interface on a client browser, a web application, and a database server.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115092004","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

The Application of Integral Source Model in The Design of Freeform Optics for Several Multidirectional Light Sources 积分光源模型在多方向光源自由曲面光学设计中的应用

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-3-73

N. Bogdanov, I. Potemin, D. Zhdanov, Yan Wang

{"title":"The Application of Integral Source Model in The Design of Freeform Optics for Several Multidirectional Light Sources","authors":"N. Bogdanov, I. Potemin, D. Zhdanov, Yan Wang","doi":"10.51130/graphicon-2020-2-3-73","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-3-73","url":null,"abstract":"One of the features of an intelligent transport system is the formation of communication channels between vehicles. Vehicle-to-vehicle communication will help reduce the number of road accidents. Li-Fi technology is considered as a method for communication. Li-Fi uses visible light for data transmission. A single source of radiation may not be sufficient to provide a certain signal level at the receiver, so multiple sources must be used. Also, signal transmission should be in all directions in the horizontal plane. The study addresses the problem of designing optical systems of circular radiation with several multidirectional sources. It proposes the modification of the ray mapping method for the task of designing optical elements for the Li-Fi wireless communication technology between vehicles. Also, it describes the algorithm for calculating optical systems of circular radiation for a signal source and signal receiver. Finally, the results of calculating and virtual prototyping of devices designed by the proposed method.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889884","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

Data Distillation for Traffic Sign Detection 用于交通标志检测的数据蒸馏

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-3-33

A. Popov, V. Shakhuro, A. Konushin

引用次数: 1

Infectious Dynamics in Urban 3D-Environment: Challenges and Possibilities 城市3d环境中的感染动力学:挑战与可能性

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-3-48

E. Eremchenko, V. Tikunov, S. Vylegzhanin, Alexander Fetishev

引用次数: 1

Development of Telescopic Glasses Optical System Based on Polymer Lens 基于聚合物透镜的伸缩玻璃光学系统的研制

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-4-46

A. Ekimenkova, A. Voznesenskaya

{"title":"Development of Telescopic Glasses Optical System Based on Polymer Lens","authors":"A. Ekimenkova, A. Voznesenskaya","doi":"10.51130/graphicon-2020-2-4-46","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-4-46","url":null,"abstract":"Polymeric materials are actively used to upgrade existing optical devices in order to improve their physical and optical properties. High-tech and relatively cheap polymer optics is a means of solving technical problems related to reduction of assembly labor intensity, improvement of design and reliability of various optical systems. Currently, ophthalmology is the most advanced area for polymer technology development. The defining trend of improving spectacle optics is gradual replacement of lenses made of silicate glass with lenses made of polymer materials, the undoubted advantages of which are almost twice lower density and significant impact resistance. This work is devoted to the development of an optical system of telescopic glasses of small multiplicity, made by the scheme Galileo using modern optical polymers. The device is designed to improve the performance of the eye and can be used for medical operations. The calculation of the presented optical system is carried out by the Zemax program. The resulting optical system is characterized by high image quality, light weight and compactness.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128491191","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

Algorithm for Predicting the Trajectory of Road Users to Automate Control of an Autonomous Vehicle 预测道路使用者轨迹的自动驾驶汽车自动控制算法

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-4-53

A. Azarchenkov, M. Lyubimov

引用次数: 1

Improving the Neural Network Algorithm for Assessing the Quality of Facial Images 人脸图像质量评估的改进神经网络算法

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-3-28

N. Lisin, A. Gromov, V. Konushin, Anton Konushin

引用次数: 0

Usability Assessment of the Visualization-Driven Approaches to the HVAC Data Exploration 暖通空调数据探索可视化驱动方法的可用性评估

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-3-17

E. Novikova, Polina Belimova, Alena Dzhumagulova, M. Bestuzhev, Yulia Bezbakh, A. Volosiuk, Andrey Balkanskii, A. Lavrov

{"title":"Usability Assessment of the Visualization-Driven Approaches to the HVAC Data Exploration","authors":"E. Novikova, Polina Belimova, Alena Dzhumagulova, M. Bestuzhev, Yulia Bezbakh, A. Volosiuk, Andrey Balkanskii, A. Lavrov","doi":"10.51130/graphicon-2020-2-3-17","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-3-17","url":null,"abstract":"Application of the Internet-connected operational devices in the heating, ventilation and conditioning (HVAC) systems has extended the cyber-attack surface by introducing different malicious scenarios. The analysis of the HVAC data may provide insight on typical patterns of the system operations. Implementation of the thoroughly elaborated visualization models may significantly increase the efficiency of the suspicious activity identification in the HVAC systems. In the paper we present the results of the laboratory usability testing of three visualization models used to analyze HVAC data – matrix-based visualization technique, non-linear multidimensional visualization technique RadViz and timeline chart. Matrix-based visualization and RadViz visualization are often used in anomaly detection process, while timeline charts are a traditional way to present operational HVAC data. We describe the experiment design and discuss the results obtained. The usability testing revealed advantages and limitations of these visualization techniques in behavior pattern and anomaly identification tasks. The results can further serve as guidelines for task-dependent selection of a visualization technique.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121105695","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