In order to understand the working state of on orbit satellites, it is necessary to analyze the telemetry data. The fast-changing telemetry data is an important data to express the navigation service status of navigation satellite. Its analysis and modeling are helpful to mine the deep information of navigation telemetry data. A modeling method of on orbit navigation satellite fast-changing telemetry data based on decision tree regression is proposed. The model is used to predict the power measurements at frequency points. The results show that R2 value is greater than 0.96, and the error of prediction value is small. A fast-changing telemetry data model with good effect is established, which provides a possible scheme for the application of artificial intelligence in the analysis of fast-changing telemetry data.
{"title":"Application of decision tree regression in navigation satellite telemetry data modeling","authors":"Xuehuan Zhang, Jian-bo Sun, D. Zhao","doi":"10.1117/12.2653511","DOIUrl":"https://doi.org/10.1117/12.2653511","url":null,"abstract":"In order to understand the working state of on orbit satellites, it is necessary to analyze the telemetry data. The fast-changing telemetry data is an important data to express the navigation service status of navigation satellite. Its analysis and modeling are helpful to mine the deep information of navigation telemetry data. A modeling method of on orbit navigation satellite fast-changing telemetry data based on decision tree regression is proposed. The model is used to predict the power measurements at frequency points. The results show that R2 value is greater than 0.96, and the error of prediction value is small. A fast-changing telemetry data model with good effect is established, which provides a possible scheme for the application of artificial intelligence in the analysis of fast-changing telemetry data.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":"9 8","pages":"124741D - 124741D-5"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72405223","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}
With the promotion of smart city and other technologies, the application of embedded vision detection equipment is becoming more and more popular, among which gesture recognition is an important application of embedded vision detection equipment. At present, gesture recognition technology on embedded visual detection equipment is mostly implemented by calling API in domestic and foreign researches and products. But this method needs the support of stable communication network and has certain delay problem. To solve the above problems, this paper proposes a lightweight neural network model that can be deployed on embedded devices, which can realize local gesture recognition on embedded terminals without network remote transmission. The network builds a training framework on PyTorch and uses a homemade dataset for training, then lightens the network and finally deploys on raspberry PI for gesture recognition. Experimental results show that this network can run at a higher rate in raspberry PI 4B (4GB), and the model size is greatly reduced. The final recognition effect is good, and it has high practical value.
{"title":"Application research of gesture recognition based on lightweight neural network","authors":"Xinghan Huang, Xiaofu Du, Hedan Liu","doi":"10.1117/12.2653442","DOIUrl":"https://doi.org/10.1117/12.2653442","url":null,"abstract":"With the promotion of smart city and other technologies, the application of embedded vision detection equipment is becoming more and more popular, among which gesture recognition is an important application of embedded vision detection equipment. At present, gesture recognition technology on embedded visual detection equipment is mostly implemented by calling API in domestic and foreign researches and products. But this method needs the support of stable communication network and has certain delay problem. To solve the above problems, this paper proposes a lightweight neural network model that can be deployed on embedded devices, which can realize local gesture recognition on embedded terminals without network remote transmission. The network builds a training framework on PyTorch and uses a homemade dataset for training, then lightens the network and finally deploys on raspberry PI for gesture recognition. Experimental results show that this network can run at a higher rate in raspberry PI 4B (4GB), and the model size is greatly reduced. The final recognition effect is good, and it has high practical value.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":"260 1","pages":"124741I - 124741I-7"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78810082","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}
Traditional culture is the communication source and important communication channel of China's cultural construction output, which has a lot of value waiting to be excavated. With the rapid development of China's economy and technology, some excellent traditional culture has gradually disappeared in people's vision, many traditional folk crafts and technologies are on the verge of disappearing, their living environment is worrying [1]. The advent of the Internet era has brought new opportunities to the rise of traditional culture, which can spread its cultural deposits in different forms through the Internet platform. Under the background of current culture "going out", folk traditional culture has gradually attracted the public's attention. On the basis of respecting and restoring traditional culture, it is necessary to improve the effectiveness and interest of traditional culture information dissemination. This article mainly tells the story of folk traditional culture resources based on the cloud platform to optimize the design of the system, put forward his opinion in light of the present condition of the traditional culture, the purpose is to speed up the traditional culture and the integration of the Internet, thus the spread of the traditional culture and resources optimization design, as much as possible to retain the irreplaceability of traditional culture.
{"title":"Design of folk custom traditional culture resources optimization system based on cloud platform","authors":"Honglan Yuan","doi":"10.1117/12.2653730","DOIUrl":"https://doi.org/10.1117/12.2653730","url":null,"abstract":"Traditional culture is the communication source and important communication channel of China's cultural construction output, which has a lot of value waiting to be excavated. With the rapid development of China's economy and technology, some excellent traditional culture has gradually disappeared in people's vision, many traditional folk crafts and technologies are on the verge of disappearing, their living environment is worrying [1]. The advent of the Internet era has brought new opportunities to the rise of traditional culture, which can spread its cultural deposits in different forms through the Internet platform. Under the background of current culture \"going out\", folk traditional culture has gradually attracted the public's attention. On the basis of respecting and restoring traditional culture, it is necessary to improve the effectiveness and interest of traditional culture information dissemination. This article mainly tells the story of folk traditional culture resources based on the cloud platform to optimize the design of the system, put forward his opinion in light of the present condition of the traditional culture, the purpose is to speed up the traditional culture and the integration of the Internet, thus the spread of the traditional culture and resources optimization design, as much as possible to retain the irreplaceability of traditional culture.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":"82 6 1","pages":"124741L - 124741L-5"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89295627","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}
In this era of information explosion, we need to query through scholar website, talent website or major recruitment websites to find the required talent information. However, there are problems of easy matching failure, low correlation, high maintenance cost, complicated steps and lack of information. Considering with the current research direction and its short comings, this paper proposes a multi-feature and multi-relationship talent discovery algorithm based on knowledge graph (TDKG). Firstly, the talent graph is constructed based on talent dataset, then the needs of user are analyzed by natural language processing, and finally the multi-feature and multi-relationship search is realized by combining the talent graph. By crawling the real talent data on the post graduate enrollment information website, the talent graph and the talent discovery system is constructed for verification. The experiment shows that this algorithm can precisely identify the needs of users and return the talent information required by users. Compared with the existing talent search methods, it has more pertinence, richer and more perfect functions.
{"title":"Multi-feature and multi-relationship talent discovery algorithm based on knowledge graph","authors":"Chen Yuanyi, Wang Huamin, Su Zeyin, Li Ruizhu","doi":"10.1117/12.2653416","DOIUrl":"https://doi.org/10.1117/12.2653416","url":null,"abstract":"In this era of information explosion, we need to query through scholar website, talent website or major recruitment websites to find the required talent information. However, there are problems of easy matching failure, low correlation, high maintenance cost, complicated steps and lack of information. Considering with the current research direction and its short comings, this paper proposes a multi-feature and multi-relationship talent discovery algorithm based on knowledge graph (TDKG). Firstly, the talent graph is constructed based on talent dataset, then the needs of user are analyzed by natural language processing, and finally the multi-feature and multi-relationship search is realized by combining the talent graph. By crawling the real talent data on the post graduate enrollment information website, the talent graph and the talent discovery system is constructed for verification. The experiment shows that this algorithm can precisely identify the needs of users and return the talent information required by users. Compared with the existing talent search methods, it has more pertinence, richer and more perfect functions.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":"37 1","pages":"124740U - 124740U-6"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88289727","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}
In this paper, the job responsibility of railway locomotive and rolling stock supervision managements and operators is investigated, the current situation and problems of supervision management informatization are analyzed. Through the above research, the supervision business process model under the new supervision management mode is established, and railway locomotive and rolling stock supervision management information system is designed and implemented. Meanwhile, the actual application of the system is described at the end of this paper. Though the application of the system, it can assist supervisors to find and solve problems at the first time and realize the supervision management of the whole process of product procurement, design, manufacturing, testing, handover, etc, which strengthens the source quality control for the railway locomotive and rolling stock.
{"title":"Design and implement of the railway locomotive and rolling stock supervision management information system","authors":"Jiajia Sun, Yawei Liu, Zhigang Wang, Hui Wang","doi":"10.1117/12.2653482","DOIUrl":"https://doi.org/10.1117/12.2653482","url":null,"abstract":"In this paper, the job responsibility of railway locomotive and rolling stock supervision managements and operators is investigated, the current situation and problems of supervision management informatization are analyzed. Through the above research, the supervision business process model under the new supervision management mode is established, and railway locomotive and rolling stock supervision management information system is designed and implemented. Meanwhile, the actual application of the system is described at the end of this paper. Though the application of the system, it can assist supervisors to find and solve problems at the first time and realize the supervision management of the whole process of product procurement, design, manufacturing, testing, handover, etc, which strengthens the source quality control for the railway locomotive and rolling stock.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":"1 1","pages":"124742H - 124742H-6"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90394558","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}
Spectrum induced polarization method is mainly used for geological survey according to the difference of conductivity and polarization of medium. Combined with the needs of national strategic development, this paper studies the three-dimensional finite element numerical simulation method of complex resistivity based on generalized equivalent dielectric induced polarization (GEMTIP) model. This method has been widely used in resource exploration, engineering geology and other fields. First, the GEMTIP model and the complex resistivity variation characteristics of GEMTIP model under the influence of different parameters was introduced. Then, the variation equations were established for two-point sources of 3D modeling of complex resistivity method. The computing area was divided into hexahedral elements. The complex potential and the complex conductivity of rocks within each triangular lattice were described by a linear interpolation to create a linear equations system from the variation equation. The BICGSTAB (Bi-conjugate gradient stabilized method) algorithm with incomplete LU decomposition for preconditioning was used to solve the system linear equation to calculate the anomalous complex potential of all nodes and the apparent complex resistivity on the surface. Finally, this approach was verified through the calculations of a two layered model. Two typical geoelectric models were designed to test the correctness and efficiency of the algorithm. The results show that it provides new way to further study the induced polarization effect of rock and ore on the acroscopic scale.
{"title":"A new way to extract the abnormal response of complex resistivity based on GEMTIP model","authors":"Yanqun Cui, Jing Zhang, Jing Yin, Chun-yan Liu, Hongyi Zhai, X. Pu","doi":"10.1117/12.2653587","DOIUrl":"https://doi.org/10.1117/12.2653587","url":null,"abstract":"Spectrum induced polarization method is mainly used for geological survey according to the difference of conductivity and polarization of medium. Combined with the needs of national strategic development, this paper studies the three-dimensional finite element numerical simulation method of complex resistivity based on generalized equivalent dielectric induced polarization (GEMTIP) model. This method has been widely used in resource exploration, engineering geology and other fields. First, the GEMTIP model and the complex resistivity variation characteristics of GEMTIP model under the influence of different parameters was introduced. Then, the variation equations were established for two-point sources of 3D modeling of complex resistivity method. The computing area was divided into hexahedral elements. The complex potential and the complex conductivity of rocks within each triangular lattice were described by a linear interpolation to create a linear equations system from the variation equation. The BICGSTAB (Bi-conjugate gradient stabilized method) algorithm with incomplete LU decomposition for preconditioning was used to solve the system linear equation to calculate the anomalous complex potential of all nodes and the apparent complex resistivity on the surface. Finally, this approach was verified through the calculations of a two layered model. Two typical geoelectric models were designed to test the correctness and efficiency of the algorithm. The results show that it provides new way to further study the induced polarization effect of rock and ore on the acroscopic scale.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":"3 1","pages":"124741H - 124741H-7"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73293568","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}
Bo Chen, Kun Yan, Rongchuan Cao, Tianqi Zhang, Xiaoli Zhang
Visual odometry is one of the key core technologies in the field of autonomous driving. However, images captured in lowlight or unevenly-illuminated scenes still cannot guarantee good performance due to low image contrast and lack of detail features. Therefore, we propose an end-to-end visual odometry method based on image fusion and FCNN-LSTM in the paper. The brightness image of the source image sequence is obtained by gray-scale transformation, and an image fusion algorithm based on spectral residual theory is designed to combine the image sequence and its brightness image to enhance the contrast of the image and provide more detailed information. In order to improve the accuracy of image feature extraction and reduce the error in the pose estimation process, we design a feature extraction algorithm based on skipfusion-FCNN. The traditional fully convolutional neural network (FCNN) is improved, a skip-fusion-FCNN network model is proposed, and three different paths are constructed for feature extraction. In each path, the prediction results of different depths are fused by downsampling to obtain a feature map. Merge three different feature maps to obtain feature fusion information, taking into account the structural information and detail information of the image. Experiments show that this algorithm is superior to the state-of-the-art algorithms.
{"title":"A new visual odometry algorithm based on multi-path deep fully convolutional neural networks","authors":"Bo Chen, Kun Yan, Rongchuan Cao, Tianqi Zhang, Xiaoli Zhang","doi":"10.1117/12.2653846","DOIUrl":"https://doi.org/10.1117/12.2653846","url":null,"abstract":"Visual odometry is one of the key core technologies in the field of autonomous driving. However, images captured in lowlight or unevenly-illuminated scenes still cannot guarantee good performance due to low image contrast and lack of detail features. Therefore, we propose an end-to-end visual odometry method based on image fusion and FCNN-LSTM in the paper. The brightness image of the source image sequence is obtained by gray-scale transformation, and an image fusion algorithm based on spectral residual theory is designed to combine the image sequence and its brightness image to enhance the contrast of the image and provide more detailed information. In order to improve the accuracy of image feature extraction and reduce the error in the pose estimation process, we design a feature extraction algorithm based on skipfusion-FCNN. The traditional fully convolutional neural network (FCNN) is improved, a skip-fusion-FCNN network model is proposed, and three different paths are constructed for feature extraction. In each path, the prediction results of different depths are fused by downsampling to obtain a feature map. Merge three different feature maps to obtain feature fusion information, taking into account the structural information and detail information of the image. Experiments show that this algorithm is superior to the state-of-the-art algorithms.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":"124 1","pages":"124740W - 124740W-9"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77354997","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}
To further promote the improvement of pedestrian re-identification performance, this paper studies the reid framework based on "reid-strong-baseline", and uses different optimization schemes to improve the network performance. Firstly, the study tests three kinds of loss: Softmax, triplet hard, and Softmax + triplet hard, to verify the Rank-1 performance obtained and which can achieve the best performance. Secondly, based on the prototype network obtained by applying Softmax + triplet hard loss, we utilize several optimization methods including data enhancement, learning rate optimization, sampling method, and Label smoothing. Then we study the effectiveness of these optimizations on the performance of the Baseline model and the degree of improvement. Finally, this paper studies the efficiency of different Backbone and network depths on the performance of pedestrian re-identification.
{"title":"A novel pedestrian re-identification algorithm framework based on deep learning","authors":"Huawei Wang, Yijing Guo","doi":"10.1117/12.2653790","DOIUrl":"https://doi.org/10.1117/12.2653790","url":null,"abstract":"To further promote the improvement of pedestrian re-identification performance, this paper studies the reid framework based on \"reid-strong-baseline\", and uses different optimization schemes to improve the network performance. Firstly, the study tests three kinds of loss: Softmax, triplet hard, and Softmax + triplet hard, to verify the Rank-1 performance obtained and which can achieve the best performance. Secondly, based on the prototype network obtained by applying Softmax + triplet hard loss, we utilize several optimization methods including data enhancement, learning rate optimization, sampling method, and Label smoothing. Then we study the effectiveness of these optimizations on the performance of the Baseline model and the degree of improvement. Finally, this paper studies the efficiency of different Backbone and network depths on the performance of pedestrian re-identification.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":"354 1","pages":"124740N - 124740N-8"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80099488","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}
With the continuous development of digital multimedia technology, digital multimedia technology has realized the integration with medical treatment, education, traditional scientific research and other fields, and become the trend of future development. The application of digital multimedia technology to reform vocal music performance teaching is an important means of innovative vocal music teaching, but also an inevitable choice to promote the development of vocal music teaching. Digital multimedia technology will be one of the irreplaceable important carriers in vocal music performance teaching. In the application of digital media, many new teaching modes have appeared in the design of vocal music learning system in colleges and universities. Digital multimedia technology has effectively broken the limitations of traditional vocal music teaching and provided new possibilities for the informatization and modernization of vocal music performance teaching and learning. This paper mainly describes the design of multimedia vocal music learning system based on Visual C++, according to the current problems in multimedia vocal music teaching, and put forward their own solutions, the purpose is to speed up the design process of multimedia vocal music learning system, improve the progress of students learning.
{"title":"Design of multimedia vocal music learning system based on Visual C++","authors":"Siwei Zhu, Lulu C. H. Sun","doi":"10.1117/12.2653402","DOIUrl":"https://doi.org/10.1117/12.2653402","url":null,"abstract":"With the continuous development of digital multimedia technology, digital multimedia technology has realized the integration with medical treatment, education, traditional scientific research and other fields, and become the trend of future development. The application of digital multimedia technology to reform vocal music performance teaching is an important means of innovative vocal music teaching, but also an inevitable choice to promote the development of vocal music teaching. Digital multimedia technology will be one of the irreplaceable important carriers in vocal music performance teaching. In the application of digital media, many new teaching modes have appeared in the design of vocal music learning system in colleges and universities. Digital multimedia technology has effectively broken the limitations of traditional vocal music teaching and provided new possibilities for the informatization and modernization of vocal music performance teaching and learning. This paper mainly describes the design of multimedia vocal music learning system based on Visual C++, according to the current problems in multimedia vocal music teaching, and put forward their own solutions, the purpose is to speed up the design process of multimedia vocal music learning system, improve the progress of students learning.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":"2 1","pages":"1247405 - 1247405-6"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87844023","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}
Chunyan Liu, Cheng-Xue Yin, Zibo Wu, F. Guo, Yuan Wang, X. Si, Baodong Wang
Researchers have begun to pay greater attention to anthropometric measures as technology advances, and measurement technology has switched from contact to non-contact measurement, with non-contact measurement technology increasingly being used in the apparel industry. This paper analyzes, compares, and summarizes 2D non-contact measurement methods. The individual methods of image acquisition, contour recognition, feature point extraction, and dimension fitting for 2D non-contact measurement are introduced. The non-contact body dimension measurement based on computer vision is proposed and initially applied to the body dimension measurement of automotive seats.
{"title":"Image-based 2-D non-contact human data measurement and its application to automotive seats","authors":"Chunyan Liu, Cheng-Xue Yin, Zibo Wu, F. Guo, Yuan Wang, X. Si, Baodong Wang","doi":"10.1117/12.2653545","DOIUrl":"https://doi.org/10.1117/12.2653545","url":null,"abstract":"Researchers have begun to pay greater attention to anthropometric measures as technology advances, and measurement technology has switched from contact to non-contact measurement, with non-contact measurement technology increasingly being used in the apparel industry. This paper analyzes, compares, and summarizes 2D non-contact measurement methods. The individual methods of image acquisition, contour recognition, feature point extraction, and dimension fitting for 2D non-contact measurement are introduced. The non-contact body dimension measurement based on computer vision is proposed and initially applied to the body dimension measurement of automotive seats.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":"17 1","pages":"1247429 - 1247429-8"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89430069","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}
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