{"title":"基于深度学习的设备摄像头实时身体测量","authors":"Nikola Pop Tomov, V. Kokalanov, S. Koceski","doi":"10.1109/MECO58584.2023.10155096","DOIUrl":null,"url":null,"abstract":"In recent years, the use of deep learning techniques has gained widespread popularity in the field of computer vision, especially for tasks such as object detection and recognition. In this research paper, we present a deep learning-based approach for the real-time estimation of human body measurements using device cameras, intending to enhance the online shopping experience and reduce concerns related to size selection. The proposed method based on convolutional neural networks (CNNs) is evaluated and the results are presented.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deep Learning-Based Real-Time Body Measurements Using Device Camera\",\"authors\":\"Nikola Pop Tomov, V. Kokalanov, S. Koceski\",\"doi\":\"10.1109/MECO58584.2023.10155096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, the use of deep learning techniques has gained widespread popularity in the field of computer vision, especially for tasks such as object detection and recognition. In this research paper, we present a deep learning-based approach for the real-time estimation of human body measurements using device cameras, intending to enhance the online shopping experience and reduce concerns related to size selection. The proposed method based on convolutional neural networks (CNNs) is evaluated and the results are presented.\",\"PeriodicalId\":187825,\"journal\":{\"name\":\"2023 12th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 12th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO58584.2023.10155096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO58584.2023.10155096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Deep Learning-Based Real-Time Body Measurements Using Device Camera
In recent years, the use of deep learning techniques has gained widespread popularity in the field of computer vision, especially for tasks such as object detection and recognition. In this research paper, we present a deep learning-based approach for the real-time estimation of human body measurements using device cameras, intending to enhance the online shopping experience and reduce concerns related to size selection. The proposed method based on convolutional neural networks (CNNs) is evaluated and the results are presented.