{"title":"基于迭代比较的深度估计任意视点图像合成","authors":"Yasuyuki Haruta, Akira Kubotat, Ryutaro Oi, Takayuki Hamamoto","doi":"10.1109/ISPACS.2006.364721","DOIUrl":null,"url":null,"abstract":"In this paper, the method of synthesizing arbitrary view images that uses 16 cameras on a plane is examined. First of all, we propose the technique for estimating accurate depth information between the cameras and objects. Next, the real arbitrary view images are synthesized by using the 3D shape model estimated by the depth information and the actual images appropriately. The images at arbitrary view points can be generated without errors due to occlusion.","PeriodicalId":178644,"journal":{"name":"2006 International Symposium on Intelligent Signal Processing and Communications","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synthesis of Arbitrary View Images Using Depth Estimation Based on Iterative Comparison\",\"authors\":\"Yasuyuki Haruta, Akira Kubotat, Ryutaro Oi, Takayuki Hamamoto\",\"doi\":\"10.1109/ISPACS.2006.364721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the method of synthesizing arbitrary view images that uses 16 cameras on a plane is examined. First of all, we propose the technique for estimating accurate depth information between the cameras and objects. Next, the real arbitrary view images are synthesized by using the 3D shape model estimated by the depth information and the actual images appropriately. The images at arbitrary view points can be generated without errors due to occlusion.\",\"PeriodicalId\":178644,\"journal\":{\"name\":\"2006 International Symposium on Intelligent Signal Processing and Communications\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Symposium on Intelligent Signal Processing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS.2006.364721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Symposium on Intelligent Signal Processing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2006.364721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synthesis of Arbitrary View Images Using Depth Estimation Based on Iterative Comparison
In this paper, the method of synthesizing arbitrary view images that uses 16 cameras on a plane is examined. First of all, we propose the technique for estimating accurate depth information between the cameras and objects. Next, the real arbitrary view images are synthesized by using the 3D shape model estimated by the depth information and the actual images appropriately. The images at arbitrary view points can be generated without errors due to occlusion.
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