Modeling Illumination Data with Flying Light Specks
Modeling Illumination Data with Flying Light Specks
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DOI：
10.1145/3587819.3592544
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发表时间：
2023-06
期刊：
影响因子：
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通讯作者：
Hamed Alimohammadzadeh;Daryon Mehraban;Shahram Ghandeharizadeh
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文献类型：
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作者：
Hamed Alimohammadzadeh;Daryon Mehraban;Shahram Ghandeharizadeh
FLS （Flying Light Speck）是一种配备光源的微型无人机。成群的FLS将照亮一个物体的三维体积，一个FLS显示器。这些启示及其数据模型是本文的新颖贡献。我们介绍了无人机飞行路径的概念模型，以呈现静态，滑动和运动照明。我们使用包文件描述概念模型的物理实现。我们使用不同的无损压缩技术来评估这种实现。一个关键的发现是，与原始的点云相比，我们的包文件实现非常紧凑。虽然压缩减少了包文件的大小，但是同时使用内部包文件压缩（lz4带块）和Gzip的组合并不一定是最紧凑的表示。我们开源了我们的软件和它的点云序列数据供科学界使用，参见https://github.com/flyinglightspeck/FLSbagfile。
A Flying Light Speck, FLS, is a miniature sized drone configured with light sources. Swarms of FLSs will illuminate an object in a 3D volume, an FLS display. These illuminations and their data models are the novel contributions of this paper. We introduce a conceptual model of drone flight paths to render static, slide, and motion illuminations. We describe a physical implementation of the conceptual model using bag files. We evaluate this implementation using different lossless compression techniques. A key finding is that our bag file implementation is very compact when compared with the original point clouds. While compression reduces the size of a bag file, a combination that includes the use of both internal bag file compression (lz4 with chunks) and Gzip is not necessarily the most compact representation. We open source our software and its point cloud sequence data for use by the scientific community, see https://github.com/flyinglightspeck/FLSbagfile.