{"title":"用LLE估计摆姿和自发面部表情形成的时间动态","authors":"Jane Reilly Delannoy, J. McDonald","doi":"10.1109/IMVIP.2009.32","DOIUrl":null,"url":null,"abstract":"When analysing facial expressions, it is not only the final expression itself, but also its formation that plays an important role when attempting to decipher its meaning. Currently in research there are two techniques for describing the dynamics of facial expression; quantitative and temporal based analysis. Quantitative-based techniques attempt to determine the amplitude of the expression in terms of intensity levels, where the levels correspond to some measure of the extent to which the expression is present on the face. Temporal-based techniques split the expression into three temporal phases (onset-apex-offset). In this paper we focus on the temporal aspects of facial expression formation, describing our research into applying a non-linear manifold extraction technique for modelling these temporal phases. We present initial results of our technique for modelling the temporal aspects of both posed and spontaneous facial expressions.","PeriodicalId":179564,"journal":{"name":"2009 13th International Machine Vision and Image Processing Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Estimation of the Temporal Dynamics of Posed and Spontaneous Facial Expression Formation Using LLE\",\"authors\":\"Jane Reilly Delannoy, J. McDonald\",\"doi\":\"10.1109/IMVIP.2009.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When analysing facial expressions, it is not only the final expression itself, but also its formation that plays an important role when attempting to decipher its meaning. Currently in research there are two techniques for describing the dynamics of facial expression; quantitative and temporal based analysis. Quantitative-based techniques attempt to determine the amplitude of the expression in terms of intensity levels, where the levels correspond to some measure of the extent to which the expression is present on the face. Temporal-based techniques split the expression into three temporal phases (onset-apex-offset). In this paper we focus on the temporal aspects of facial expression formation, describing our research into applying a non-linear manifold extraction technique for modelling these temporal phases. We present initial results of our technique for modelling the temporal aspects of both posed and spontaneous facial expressions.\",\"PeriodicalId\":179564,\"journal\":{\"name\":\"2009 13th International Machine Vision and Image Processing Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 13th International Machine Vision and Image Processing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMVIP.2009.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 13th International Machine Vision and Image Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMVIP.2009.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of the Temporal Dynamics of Posed and Spontaneous Facial Expression Formation Using LLE
When analysing facial expressions, it is not only the final expression itself, but also its formation that plays an important role when attempting to decipher its meaning. Currently in research there are two techniques for describing the dynamics of facial expression; quantitative and temporal based analysis. Quantitative-based techniques attempt to determine the amplitude of the expression in terms of intensity levels, where the levels correspond to some measure of the extent to which the expression is present on the face. Temporal-based techniques split the expression into three temporal phases (onset-apex-offset). In this paper we focus on the temporal aspects of facial expression formation, describing our research into applying a non-linear manifold extraction technique for modelling these temporal phases. We present initial results of our technique for modelling the temporal aspects of both posed and spontaneous facial expressions.