{"title":"自动图像对齐和融合在数字蒙太奇","authors":"Jitender Singh Virk, Surender Singh","doi":"10.1109/ITSS-IoE53029.2021.9615267","DOIUrl":null,"url":null,"abstract":"A composite of several pictures is what we call a Photomontage or a collage. Having a large collection of photographs from an event, wedding, or trip is common these days. It is tedious to manually select meaningful images from the large collection of pictures to create a summary or story-telling montage. With the rapid development of computer vision algorithms, the modern digital world operates on automated and intelligent vision systems. Regular users highly demand these intelligent, automatic, and user-friendly systems. Our focus is to create an intelligent and user-friendly system that requires little to no manual work to create a digital photomontage. As a result, this paper describes the procedure of an automated digital photomontage web app. This system aims to construct an eye-pleasing image from a collection of input images without any effort. The system constructs a montage, also known as collage, of given images using several computer vision algorithms to identify each image’s right placement. The algorithms involve saliency detection, face detection, smooth image-to-image transition, auto-orientation, and image-borders blending. The web app is available at https://jsvirk47.pythonanywhere.com and code is available at https://tinyurl.com/h4ccehrx. The proposed system is easy to use and provides high-quality results. This system is ideal for regular users to process images to share with their friends and family or social media profiles.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Image Alignment and Fusion in a Digital Photomontage\",\"authors\":\"Jitender Singh Virk, Surender Singh\",\"doi\":\"10.1109/ITSS-IoE53029.2021.9615267\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A composite of several pictures is what we call a Photomontage or a collage. Having a large collection of photographs from an event, wedding, or trip is common these days. It is tedious to manually select meaningful images from the large collection of pictures to create a summary or story-telling montage. With the rapid development of computer vision algorithms, the modern digital world operates on automated and intelligent vision systems. Regular users highly demand these intelligent, automatic, and user-friendly systems. Our focus is to create an intelligent and user-friendly system that requires little to no manual work to create a digital photomontage. As a result, this paper describes the procedure of an automated digital photomontage web app. This system aims to construct an eye-pleasing image from a collection of input images without any effort. The system constructs a montage, also known as collage, of given images using several computer vision algorithms to identify each image’s right placement. The algorithms involve saliency detection, face detection, smooth image-to-image transition, auto-orientation, and image-borders blending. The web app is available at https://jsvirk47.pythonanywhere.com and code is available at https://tinyurl.com/h4ccehrx. The proposed system is easy to use and provides high-quality results. This system is ideal for regular users to process images to share with their friends and family or social media profiles.\",\"PeriodicalId\":230566,\"journal\":{\"name\":\"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSS-IoE53029.2021.9615267\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Image Alignment and Fusion in a Digital Photomontage
A composite of several pictures is what we call a Photomontage or a collage. Having a large collection of photographs from an event, wedding, or trip is common these days. It is tedious to manually select meaningful images from the large collection of pictures to create a summary or story-telling montage. With the rapid development of computer vision algorithms, the modern digital world operates on automated and intelligent vision systems. Regular users highly demand these intelligent, automatic, and user-friendly systems. Our focus is to create an intelligent and user-friendly system that requires little to no manual work to create a digital photomontage. As a result, this paper describes the procedure of an automated digital photomontage web app. This system aims to construct an eye-pleasing image from a collection of input images without any effort. The system constructs a montage, also known as collage, of given images using several computer vision algorithms to identify each image’s right placement. The algorithms involve saliency detection, face detection, smooth image-to-image transition, auto-orientation, and image-borders blending. The web app is available at https://jsvirk47.pythonanywhere.com and code is available at https://tinyurl.com/h4ccehrx. The proposed system is easy to use and provides high-quality results. This system is ideal for regular users to process images to share with their friends and family or social media profiles.