{"title":"原位语义三维建模","authors":"Aditya Sankar","doi":"10.1145/2957265.2963109","DOIUrl":null,"url":null,"abstract":"Semantic 3D models of indoor scenes enable compelling interior design applications such as remodeling, refurnishing and rearrangement of furniture. However, creating these models is still a challenging task. Most existing approaches are designed to work ex-situ or out of context, and rely on the modeler's memory, photographs or measurements from the scene. We propose a novel in-situ, mobile capture system that leverages quick and easy semantic input from the user and offloads tedious reconstruction and modeling tasks to the computer. In this way, our system combines the advantages of automatic and manual CAD based methods to significantly reduce modeling time and effort. Our approach runs on commodity mobile devices and can potentially scale to a much larger audience of casual mobile phone users.","PeriodicalId":131157,"journal":{"name":"Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"In-situ semantic 3D modeling\",\"authors\":\"Aditya Sankar\",\"doi\":\"10.1145/2957265.2963109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Semantic 3D models of indoor scenes enable compelling interior design applications such as remodeling, refurnishing and rearrangement of furniture. However, creating these models is still a challenging task. Most existing approaches are designed to work ex-situ or out of context, and rely on the modeler's memory, photographs or measurements from the scene. We propose a novel in-situ, mobile capture system that leverages quick and easy semantic input from the user and offloads tedious reconstruction and modeling tasks to the computer. In this way, our system combines the advantages of automatic and manual CAD based methods to significantly reduce modeling time and effort. Our approach runs on commodity mobile devices and can potentially scale to a much larger audience of casual mobile phone users.\",\"PeriodicalId\":131157,\"journal\":{\"name\":\"Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2957265.2963109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2957265.2963109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semantic 3D models of indoor scenes enable compelling interior design applications such as remodeling, refurnishing and rearrangement of furniture. However, creating these models is still a challenging task. Most existing approaches are designed to work ex-situ or out of context, and rely on the modeler's memory, photographs or measurements from the scene. We propose a novel in-situ, mobile capture system that leverages quick and easy semantic input from the user and offloads tedious reconstruction and modeling tasks to the computer. In this way, our system combines the advantages of automatic and manual CAD based methods to significantly reduce modeling time and effort. Our approach runs on commodity mobile devices and can potentially scale to a much larger audience of casual mobile phone users.