{"title":"A basic study of human face direction estimation using depth sensor","authors":"Ryota Nagayama, T. Endo, Takenobu Kazuma, A. He","doi":"10.1109/ICAWST.2013.6765518","DOIUrl":null,"url":null,"abstract":"Kinect is a popular edition of depth sensor and is useful for realizing NUI in ubiquitous computing environment. This paper proposes a method for human face direction estimation based on the depth image from depth sensor. Our method works without using color information and is possible to work in dark environment and get better results than traditional methods. This paper describes the basic idea and basic design of our method.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"炎黄地理","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.1109/ICAWST.2013.6765518","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
Kinect is a popular edition of depth sensor and is useful for realizing NUI in ubiquitous computing environment. This paper proposes a method for human face direction estimation based on the depth image from depth sensor. Our method works without using color information and is possible to work in dark environment and get better results than traditional methods. This paper describes the basic idea and basic design of our method.
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