{"title":"基于光流和平面属性的室内物体拓扑识别新方法","authors":"Mai Ngoc Anh","doi":"10.3849/aimt.01553","DOIUrl":null,"url":null,"abstract":"An approach of qualitative optical flow processing for indoor object recognition based on planar attributes is presented. The qualitative processing is performed under hierarchical segmentations of optical flow vectors. The proposed solution for indoor object recognition is undertaken from identifying planar and atilt properties of optical flow images. The advantages of the proposed solutions are the use of much simpler arithmetic to obtain more 3D details about indoor objects.","PeriodicalId":39125,"journal":{"name":"Advances in Military Technology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Novel Solution of Topological Recognition of Indoor Objects Based on Optical Flow and Planar Attributes\",\"authors\":\"Mai Ngoc Anh\",\"doi\":\"10.3849/aimt.01553\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An approach of qualitative optical flow processing for indoor object recognition based on planar attributes is presented. The qualitative processing is performed under hierarchical segmentations of optical flow vectors. The proposed solution for indoor object recognition is undertaken from identifying planar and atilt properties of optical flow images. The advantages of the proposed solutions are the use of much simpler arithmetic to obtain more 3D details about indoor objects.\",\"PeriodicalId\":39125,\"journal\":{\"name\":\"Advances in Military Technology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Military Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3849/aimt.01553\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Military Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3849/aimt.01553","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Novel Solution of Topological Recognition of Indoor Objects Based on Optical Flow and Planar Attributes
An approach of qualitative optical flow processing for indoor object recognition based on planar attributes is presented. The qualitative processing is performed under hierarchical segmentations of optical flow vectors. The proposed solution for indoor object recognition is undertaken from identifying planar and atilt properties of optical flow images. The advantages of the proposed solutions are the use of much simpler arithmetic to obtain more 3D details about indoor objects.