I. Yuyama, Y. Takano, Masami Sobata, Y. Seki, H. Hasegawa, Yuki Watanabe
{"title":"提高隔行视频序列三维结构重建精度","authors":"I. Yuyama, Y. Takano, Masami Sobata, Y. Seki, H. Hasegawa, Yuki Watanabe","doi":"10.1109/ICDS.2007.23","DOIUrl":null,"url":null,"abstract":"This paper investigates a 3D reconstruction of the building by detecting the vanishing points from the interlaced video sequence. It is theoretically possible to reconstruct a 3D model of the building from a single picture. However, the accuracy of reconstruction is not enough with a single picture because of the deterioration of the picture, such as noise or dim etc. Increasing the number of pictures, accuracy of the reconstructed model will become higher. It is also possible to apply this method to video sequences. There are deteriorations caused by interlace scanning in addition to noise in each video image. Our preliminary results show that from information of the many pictures, this method can reconstruct precise 3D structure. The addition average values that are obtained from the 50 pictures or more have been settled within 2% of the actual value.","PeriodicalId":348977,"journal":{"name":"First International Conference on the Digital Society (ICDS'07)","volume":"374 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Improvement of Accuracy of 3D Structure Reconstruction from Interlaced Video Sequence\",\"authors\":\"I. Yuyama, Y. Takano, Masami Sobata, Y. Seki, H. Hasegawa, Yuki Watanabe\",\"doi\":\"10.1109/ICDS.2007.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates a 3D reconstruction of the building by detecting the vanishing points from the interlaced video sequence. It is theoretically possible to reconstruct a 3D model of the building from a single picture. However, the accuracy of reconstruction is not enough with a single picture because of the deterioration of the picture, such as noise or dim etc. Increasing the number of pictures, accuracy of the reconstructed model will become higher. It is also possible to apply this method to video sequences. There are deteriorations caused by interlace scanning in addition to noise in each video image. Our preliminary results show that from information of the many pictures, this method can reconstruct precise 3D structure. The addition average values that are obtained from the 50 pictures or more have been settled within 2% of the actual value.\",\"PeriodicalId\":348977,\"journal\":{\"name\":\"First International Conference on the Digital Society (ICDS'07)\",\"volume\":\"374 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Conference on the Digital Society (ICDS'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDS.2007.23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Conference on the Digital Society (ICDS'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDS.2007.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improvement of Accuracy of 3D Structure Reconstruction from Interlaced Video Sequence
This paper investigates a 3D reconstruction of the building by detecting the vanishing points from the interlaced video sequence. It is theoretically possible to reconstruct a 3D model of the building from a single picture. However, the accuracy of reconstruction is not enough with a single picture because of the deterioration of the picture, such as noise or dim etc. Increasing the number of pictures, accuracy of the reconstructed model will become higher. It is also possible to apply this method to video sequences. There are deteriorations caused by interlace scanning in addition to noise in each video image. Our preliminary results show that from information of the many pictures, this method can reconstruct precise 3D structure. The addition average values that are obtained from the 50 pictures or more have been settled within 2% of the actual value.