{"title":"VHS to VRML: 3D graphical models from video sequences","authors":"Andrew Zisserman, A. Fitzgibbon, G. Cross","doi":"10.1109/MMCS.1999.779119","DOIUrl":null,"url":null,"abstract":"We describe a method to completely automatically recover 3D scene structure together with a camera for each frame from a sequence of images acquired by an unknown camera undergoing unknown movement. Previous approaches have used calibration objects or landmarks to recover this information, and are therefore often limited to a particular scale. The approach of this paper is far more general, since the \"landmarks\" are derived directly from the imaged scene texture. The method can be applied to a large class of scenes and motions, and is demonstrated for sequences of interior and exterior scenes using both controlled-motion and hand-held cameras. We demonstrate two applications of this technology. The first is the construction of 3D graphical models of the scene; the second is the insertion of virtual objects into the original image sequence. Other applications include image compression and frame interpolation.","PeriodicalId":408680,"journal":{"name":"Proceedings IEEE International Conference on Multimedia Computing and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"57","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1999.779119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 57
Abstract
We describe a method to completely automatically recover 3D scene structure together with a camera for each frame from a sequence of images acquired by an unknown camera undergoing unknown movement. Previous approaches have used calibration objects or landmarks to recover this information, and are therefore often limited to a particular scale. The approach of this paper is far more general, since the "landmarks" are derived directly from the imaged scene texture. The method can be applied to a large class of scenes and motions, and is demonstrated for sequences of interior and exterior scenes using both controlled-motion and hand-held cameras. We demonstrate two applications of this technology. The first is the construction of 3D graphical models of the scene; the second is the insertion of virtual objects into the original image sequence. Other applications include image compression and frame interpolation.