{"title":"运动捕捉数据静态可视化的技术与方法","authors":"William Li, L. Bartram, Philippe Pasquier","doi":"10.1145/2948910.2948935","DOIUrl":null,"url":null,"abstract":"In this paper we present a state of the art of the current approaches to visualization of motion capture data. We discuss the data representation, pre-processing techniques, and the design of existing tools and systems. Next we outline the advantages and disadvantages of the systems, some of which are explicitly noted by the original authors. Lastly we conclude with an overall summary and future directions.","PeriodicalId":381334,"journal":{"name":"Proceedings of the 3rd International Symposium on Movement and Computing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Techniques and Approaches in Static Visualization of Motion Capture Data\",\"authors\":\"William Li, L. Bartram, Philippe Pasquier\",\"doi\":\"10.1145/2948910.2948935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present a state of the art of the current approaches to visualization of motion capture data. We discuss the data representation, pre-processing techniques, and the design of existing tools and systems. Next we outline the advantages and disadvantages of the systems, some of which are explicitly noted by the original authors. Lastly we conclude with an overall summary and future directions.\",\"PeriodicalId\":381334,\"journal\":{\"name\":\"Proceedings of the 3rd International Symposium on Movement and Computing\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Symposium on Movement and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2948910.2948935\",\"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 3rd International Symposium on Movement and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2948910.2948935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Techniques and Approaches in Static Visualization of Motion Capture Data
In this paper we present a state of the art of the current approaches to visualization of motion capture data. We discuss the data representation, pre-processing techniques, and the design of existing tools and systems. Next we outline the advantages and disadvantages of the systems, some of which are explicitly noted by the original authors. Lastly we conclude with an overall summary and future directions.
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