{"title":"通过识别手指的动作来识别物体","authors":"M. Hild, Motonobu Hashimoto, Kazunobu Yoshida","doi":"10.1109/ICIAP.2003.1234031","DOIUrl":null,"url":null,"abstract":"We propose an object recognition method in which the identity of objects is determined by observing the finger pointing action of persons. The system determines the head and hands regions, tracks them in real time, and verifies them through an analysis of 3D data points. Then it determines the pointing direction and intersects it with an environment model. Intersection computations are based on potential field models for both the finger pointing process and the object representations.","PeriodicalId":218076,"journal":{"name":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Object recognition via recognition of finger pointing actions\",\"authors\":\"M. Hild, Motonobu Hashimoto, Kazunobu Yoshida\",\"doi\":\"10.1109/ICIAP.2003.1234031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose an object recognition method in which the identity of objects is determined by observing the finger pointing action of persons. The system determines the head and hands regions, tracks them in real time, and verifies them through an analysis of 3D data points. Then it determines the pointing direction and intersects it with an environment model. Intersection computations are based on potential field models for both the finger pointing process and the object representations.\",\"PeriodicalId\":218076,\"journal\":{\"name\":\"12th International Conference on Image Analysis and Processing, 2003.Proceedings.\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"12th International Conference on Image Analysis and Processing, 2003.Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAP.2003.1234031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2003.1234031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Object recognition via recognition of finger pointing actions
We propose an object recognition method in which the identity of objects is determined by observing the finger pointing action of persons. The system determines the head and hands regions, tracks them in real time, and verifies them through an analysis of 3D data points. Then it determines the pointing direction and intersects it with an environment model. Intersection computations are based on potential field models for both the finger pointing process and the object representations.