{"title":"Review on 2D-to-3D Image and Video Conversion Methods","authors":"Shweta R. Patil, Priya Charles","doi":"10.1109/ICCUBEA.2015.192","DOIUrl":null,"url":null,"abstract":"We present a review paper on state of the art methods of 2D to 3D image and/or video conversion. In this modern era popularity of 3D hardware is increased but, 3D contents are still dominated by its 2D counterpart. Until now many researchers have proposed different methods to close this gap. Mainly, these conversion methods are categorized in an automatic method and semi-automatic method. In automatic method human intervention is not involved, where as in semi-automatic method human operator is involved. There are distinct attributes that can be considered during conversion, like for video conversion motion and optical flow are mostly considered parameter, while for image conversion local attributes of images are considered. Computational time and design cost are the main design metrics that should be considered while designing algorithm. Each method is having its own pros and cons, depending on specification which method will be suitable for conversion is decided.","PeriodicalId":325841,"journal":{"name":"2015 International Conference on Computing Communication Control and Automation","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Computing Communication Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCUBEA.2015.192","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
We present a review paper on state of the art methods of 2D to 3D image and/or video conversion. In this modern era popularity of 3D hardware is increased but, 3D contents are still dominated by its 2D counterpart. Until now many researchers have proposed different methods to close this gap. Mainly, these conversion methods are categorized in an automatic method and semi-automatic method. In automatic method human intervention is not involved, where as in semi-automatic method human operator is involved. There are distinct attributes that can be considered during conversion, like for video conversion motion and optical flow are mostly considered parameter, while for image conversion local attributes of images are considered. Computational time and design cost are the main design metrics that should be considered while designing algorithm. Each method is having its own pros and cons, depending on specification which method will be suitable for conversion is decided.