{"title":"使用具有深度信息的多视图图像的高质量免费视点合成","authors":"I. Tsuchida, Fan Chen, J. Izawa, K. Kotani","doi":"10.1109/ISM.2011.12","DOIUrl":null,"url":null,"abstract":"Compared to conventional synthesis methods of free viewpoint images that use only multi-view images, our research synthesizes high quality free viewpoint images by using multi-view depth information as well as the images. By recovering high resolution and high precision 3D shapes from multi-view information, high quality free viewpoint images are synthesizable. Our research captures the scene by acquiring its multi-view depth appearance information, using a laser range finder. By performing camera parameter estimation, multi-view 3D shape integration and depth estimation, high quality free viewpoint images for any scene are synthesized. The performance of our method has been investigated by experimental results.","PeriodicalId":339410,"journal":{"name":"2011 IEEE International Symposium on Multimedia","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High Quality Free Viewpoint Synthesis Using Multi-view Images with Depth Information\",\"authors\":\"I. Tsuchida, Fan Chen, J. Izawa, K. Kotani\",\"doi\":\"10.1109/ISM.2011.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Compared to conventional synthesis methods of free viewpoint images that use only multi-view images, our research synthesizes high quality free viewpoint images by using multi-view depth information as well as the images. By recovering high resolution and high precision 3D shapes from multi-view information, high quality free viewpoint images are synthesizable. Our research captures the scene by acquiring its multi-view depth appearance information, using a laser range finder. By performing camera parameter estimation, multi-view 3D shape integration and depth estimation, high quality free viewpoint images for any scene are synthesized. The performance of our method has been investigated by experimental results.\",\"PeriodicalId\":339410,\"journal\":{\"name\":\"2011 IEEE International Symposium on Multimedia\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Symposium on Multimedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISM.2011.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Symposium on Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISM.2011.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High Quality Free Viewpoint Synthesis Using Multi-view Images with Depth Information
Compared to conventional synthesis methods of free viewpoint images that use only multi-view images, our research synthesizes high quality free viewpoint images by using multi-view depth information as well as the images. By recovering high resolution and high precision 3D shapes from multi-view information, high quality free viewpoint images are synthesizable. Our research captures the scene by acquiring its multi-view depth appearance information, using a laser range finder. By performing camera parameter estimation, multi-view 3D shape integration and depth estimation, high quality free viewpoint images for any scene are synthesized. The performance of our method has been investigated by experimental results.
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