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Voxel-Based Texture Mapping and 3-D Scene-data Fusion with Radioactive Source

  • Chen Yang
  • , Yueer Li
  • , Mengfu Wei
  • , Junhai Wen*
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • China Academy of Engineering Physics

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Traditional nuclear imaging methods ignore the surrounding scene information and cannot determine the specific location of the radioactive source. If we can provide the information on scene-data fusion, the problem can be effectively solved. To achieve scene-data fusion, surface reconstruction and texture mapping are indispensable. But the related commonly used algorithms are all based onthe point cloud, and the calculation process of the algorithm is very complicated and error-prone. Therefore, in this paper, based on the research background of nuclear imaging, we focus on voxel-based texture mapping and 3-D scene-data fusion. The method we proposed can display the radioactive source and the surrounding scene at the same time and realize the accurate positioning of the radioactive source in nuclear facilities. Experiment results show that the algorithm can accurately observe the intensity ratio and distribution of radioactive sources in nuclear facilities, at the same time can display texture information well, and has a good visualization effect.

源语言英语
主期刊名ICIT 2020 - Proceedings of the 8th International Conference on Information Technology
主期刊副标题IoT and Smart City
出版商Association for Computing Machinery
105-109
页数5
ISBN(电子版)9781450388559
DOI
出版状态已出版 - 25 12月 2020
活动8th International Conference on Information Technology: IoT and Smart City, ICIT 2020 - Virtual, Online, 中国
期限: 25 12月 202027 12月 2020

出版系列

姓名ACM International Conference Proceeding Series
PartF168341

会议

会议8th International Conference on Information Technology: IoT and Smart City, ICIT 2020
国家/地区中国
Virtual, Online
时期25/12/2027/12/20

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