{"title":"一种基于视频的三维人脸模型重建集成方法","authors":"Chia-Ming Cheng, S. Lai","doi":"10.1109/RATFG.2001.938905","DOIUrl":null,"url":null,"abstract":"We present an integrated system for reconstruction an individualized 3D head model from a video sequence. Our reconstruction algorithm is based on the adaptation of a generic 3D head model. 3D geometric constraints on the head model are computed from the robust bundle adjustment algorithm and the structure from silhouette method. These 3D constraints are integrated to adapt the generic head model via radial basis function interpolation. Then the texture map of the reconstructed 3D head model is obtained by integrating all the images in the sequence through appropriate weighting. The proposed face model reconstruction method has the advantages of efficient computation as well as robustness against noises and outliers.","PeriodicalId":355094,"journal":{"name":"Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"An integrated approach to 3D face model reconstruction from video\",\"authors\":\"Chia-Ming Cheng, S. Lai\",\"doi\":\"10.1109/RATFG.2001.938905\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an integrated system for reconstruction an individualized 3D head model from a video sequence. Our reconstruction algorithm is based on the adaptation of a generic 3D head model. 3D geometric constraints on the head model are computed from the robust bundle adjustment algorithm and the structure from silhouette method. These 3D constraints are integrated to adapt the generic head model via radial basis function interpolation. Then the texture map of the reconstructed 3D head model is obtained by integrating all the images in the sequence through appropriate weighting. The proposed face model reconstruction method has the advantages of efficient computation as well as robustness against noises and outliers.\",\"PeriodicalId\":355094,\"journal\":{\"name\":\"Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RATFG.2001.938905\",\"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 IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RATFG.2001.938905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An integrated approach to 3D face model reconstruction from video
We present an integrated system for reconstruction an individualized 3D head model from a video sequence. Our reconstruction algorithm is based on the adaptation of a generic 3D head model. 3D geometric constraints on the head model are computed from the robust bundle adjustment algorithm and the structure from silhouette method. These 3D constraints are integrated to adapt the generic head model via radial basis function interpolation. Then the texture map of the reconstructed 3D head model is obtained by integrating all the images in the sequence through appropriate weighting. The proposed face model reconstruction method has the advantages of efficient computation as well as robustness against noises and outliers.