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

Published: 09 April 2021 Publication History
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  • Abstract

    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 on the 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.

    References

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    Cited By

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    • (2022)Multisensor Data Fusion by Means of Voxelization: Application to a Construction Element of Historic HeritageRemote Sensing10.3390/rs1417417214:17(4172)Online publication date: 25-Aug-2022

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    Published In

    cover image ACM Other conferences
    ICIT '20: Proceedings of the 2020 8th International Conference on Information Technology: IoT and Smart City
    December 2020
    266 pages
    ISBN:9781450388559
    DOI:10.1145/3446999
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 09 April 2021

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    Author Tags

    1. 3-D Scene-data fusion
    2. 3-D reconstruction
    3. radioactive visualization
    4. voxel

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    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    • NSAF
    • The National Key R&D Program of China

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    ICIT 2020
    ICIT 2020: IoT and Smart City
    December 25 - 27, 2020
    Xi'an, China

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    Cited By

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    • (2022)Multisensor Data Fusion by Means of Voxelization: Application to a Construction Element of Historic HeritageRemote Sensing10.3390/rs1417417214:17(4172)Online publication date: 25-Aug-2022

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