{"title":"Incorporating process knowledge into object recognition for assemblies","authors":"Elke Braun, J. Fritsch, G. Sagerer","doi":"10.1109/ICCV.2001.937597","DOIUrl":null,"url":null,"abstract":"In this paper we present an object recognition framework integrating several recognition paradigms and context information from the scene history to recognize elementary parts contained in assemblies. We use a symbolic approach to detect actions based on the object changes in the scene to monitor the construction process. The information about the elements used to construct a new assembly serves as additional source of information for recognition. Process knowledge is exploited also for selecting the best interpretation out of several alternatives for a single scene which result from contradictions and uncertainties during integration of the different cues.","PeriodicalId":429441,"journal":{"name":"Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCV.2001.937597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper we present an object recognition framework integrating several recognition paradigms and context information from the scene history to recognize elementary parts contained in assemblies. We use a symbolic approach to detect actions based on the object changes in the scene to monitor the construction process. The information about the elements used to construct a new assembly serves as additional source of information for recognition. Process knowledge is exploited also for selecting the best interpretation out of several alternatives for a single scene which result from contradictions and uncertainties during integration of the different cues.