{"title":"基于激光扫描的烟雾采集与重建","authors":"Xin Gao, Yong Hu, Qing Zuo, Yue Qi","doi":"10.1109/ICVRV.2013.15","DOIUrl":null,"url":null,"abstract":"This paper develops a laser sheet scanning based technique for capturing and reconstructing sequential volumetric models of smoke. First, a dedicated setup is introduced as the laser sheet illuminator in horizontal scanning. To achieve an accurate acquisition, a signal synchronized scheme is added between the galvanometer and the high-speed camera. Then, with a laser sheet sweeping through the volume repeatedly, the illuminated smoke slices are captured. Each sweep of the laser records a near-simultaneous smoke density field. In next reconstruction procedure, through camera and laser calibrations, 3D real positions of the pixels of captured images is calculated. Finally, these irregular smoke density fields are re sampled by a 3D original Kriging interpolation algorithm and are reconstructed to regular smoke volumetric models. In experimental results, the fidelity of visualized smoke volumetric models reconstructed by our smoke modeling method demonstrates that our approach can make a good effect on realistic smoke modeling.","PeriodicalId":179465,"journal":{"name":"2013 International Conference on Virtual Reality and Visualization","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Laser Sheet Scanning Based Smoke Acquisition and Reconstruction\",\"authors\":\"Xin Gao, Yong Hu, Qing Zuo, Yue Qi\",\"doi\":\"10.1109/ICVRV.2013.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper develops a laser sheet scanning based technique for capturing and reconstructing sequential volumetric models of smoke. First, a dedicated setup is introduced as the laser sheet illuminator in horizontal scanning. To achieve an accurate acquisition, a signal synchronized scheme is added between the galvanometer and the high-speed camera. Then, with a laser sheet sweeping through the volume repeatedly, the illuminated smoke slices are captured. Each sweep of the laser records a near-simultaneous smoke density field. In next reconstruction procedure, through camera and laser calibrations, 3D real positions of the pixels of captured images is calculated. Finally, these irregular smoke density fields are re sampled by a 3D original Kriging interpolation algorithm and are reconstructed to regular smoke volumetric models. In experimental results, the fidelity of visualized smoke volumetric models reconstructed by our smoke modeling method demonstrates that our approach can make a good effect on realistic smoke modeling.\",\"PeriodicalId\":179465,\"journal\":{\"name\":\"2013 International Conference on Virtual Reality and Visualization\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Virtual Reality and Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVRV.2013.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Virtual Reality and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRV.2013.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Laser Sheet Scanning Based Smoke Acquisition and Reconstruction
This paper develops a laser sheet scanning based technique for capturing and reconstructing sequential volumetric models of smoke. First, a dedicated setup is introduced as the laser sheet illuminator in horizontal scanning. To achieve an accurate acquisition, a signal synchronized scheme is added between the galvanometer and the high-speed camera. Then, with a laser sheet sweeping through the volume repeatedly, the illuminated smoke slices are captured. Each sweep of the laser records a near-simultaneous smoke density field. In next reconstruction procedure, through camera and laser calibrations, 3D real positions of the pixels of captured images is calculated. Finally, these irregular smoke density fields are re sampled by a 3D original Kriging interpolation algorithm and are reconstructed to regular smoke volumetric models. In experimental results, the fidelity of visualized smoke volumetric models reconstructed by our smoke modeling method demonstrates that our approach can make a good effect on realistic smoke modeling.