Grigorios Kalliatakis, G. Triantafyllidis, N. Vidakis
{"title":"头部姿势三维数据基于网络可视化","authors":"Grigorios Kalliatakis, G. Triantafyllidis, N. Vidakis","doi":"10.1145/2775292.2778304","DOIUrl":null,"url":null,"abstract":"An approach build on discriminative random regression forests was followed in order to achieve fast, accurate and reliable estimation of head pose in uncontrolled environment. Data representing the changes of a person's head direction, concerning two Degrees of Freedom (DOF), pitch and yaw, are collected and stored adopting a lightweight data exchange format (JavaScript Object Notation-JSON). After that, a web visualization approach is proposed in order to improve the understanding and the analysis of the captured 3D data.","PeriodicalId":105857,"journal":{"name":"Proceedings of the 20th International Conference on 3D Web Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Head pose 3D data web-based visualization\",\"authors\":\"Grigorios Kalliatakis, G. Triantafyllidis, N. Vidakis\",\"doi\":\"10.1145/2775292.2778304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An approach build on discriminative random regression forests was followed in order to achieve fast, accurate and reliable estimation of head pose in uncontrolled environment. Data representing the changes of a person's head direction, concerning two Degrees of Freedom (DOF), pitch and yaw, are collected and stored adopting a lightweight data exchange format (JavaScript Object Notation-JSON). After that, a web visualization approach is proposed in order to improve the understanding and the analysis of the captured 3D data.\",\"PeriodicalId\":105857,\"journal\":{\"name\":\"Proceedings of the 20th International Conference on 3D Web Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th International Conference on 3D Web Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2775292.2778304\",\"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 20th International Conference on 3D Web Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2775292.2778304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An approach build on discriminative random regression forests was followed in order to achieve fast, accurate and reliable estimation of head pose in uncontrolled environment. Data representing the changes of a person's head direction, concerning two Degrees of Freedom (DOF), pitch and yaw, are collected and stored adopting a lightweight data exchange format (JavaScript Object Notation-JSON). After that, a web visualization approach is proposed in order to improve the understanding and the analysis of the captured 3D data.
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