Paulo Ricardo Baptista Betencourt, Cristina Paludo Santos, Elisiara Podgorski
{"title":"人脸检测方法与活跃度:探索互动的新范例","authors":"Paulo Ricardo Baptista Betencourt, Cristina Paludo Santos, Elisiara Podgorski","doi":"10.1145/3148456.3148496","DOIUrl":null,"url":null,"abstract":"This paper presents a method, invariant rotation and supporting vivacity detection, to perform face detection in catches in real time via the Kinect sensor. The results contribute to areas such as pattern recognition, IHC and computer vision, among others. The possibility of face detection and safely and reliably vivacity can substantially enrich IHC interfaces, increasing the variability of applications that make use of such resources in the design of multimodal interfaces.","PeriodicalId":423409,"journal":{"name":"Proceedings of the 14th Brazilian Symposium on Human Factors in Computing Systems","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Face detection method and vivacity: exploring new paradigms interaction\",\"authors\":\"Paulo Ricardo Baptista Betencourt, Cristina Paludo Santos, Elisiara Podgorski\",\"doi\":\"10.1145/3148456.3148496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method, invariant rotation and supporting vivacity detection, to perform face detection in catches in real time via the Kinect sensor. The results contribute to areas such as pattern recognition, IHC and computer vision, among others. The possibility of face detection and safely and reliably vivacity can substantially enrich IHC interfaces, increasing the variability of applications that make use of such resources in the design of multimodal interfaces.\",\"PeriodicalId\":423409,\"journal\":{\"name\":\"Proceedings of the 14th Brazilian Symposium on Human Factors in Computing Systems\",\"volume\":\"109 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 14th Brazilian Symposium on Human Factors in Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3148456.3148496\",\"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 14th Brazilian Symposium on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3148456.3148496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Face detection method and vivacity: exploring new paradigms interaction
This paper presents a method, invariant rotation and supporting vivacity detection, to perform face detection in catches in real time via the Kinect sensor. The results contribute to areas such as pattern recognition, IHC and computer vision, among others. The possibility of face detection and safely and reliably vivacity can substantially enrich IHC interfaces, increasing the variability of applications that make use of such resources in the design of multimodal interfaces.