Hybrid simulation for creating realistic scenes for signature assessment

Koen van der Sanden, M. Hogervorst, P. Bijl
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Abstract

To create a complete virtual scene with sufficient fidelity so it can be used for signature/camouflage assessment turns out to be complicated. Small differences in scene parameters can have a huge impact on the outcome and parameters are often unknown, which makes comparison with real environments/scenes difficult. Instead of fully virtual scenes we explore ‘hybrid’ or ‘composite’ methods in which a virtual target is simulated in the context of recorded imagery. It turns out that such techniques can generate highly realistic scenes. Here, we explored and compared various methods to create a virtual target: i) small physical models of the target, ii) Material Capture (matcap) in which a probe sphere is recorded in the scene and iii) light field measurements in combination with BRDF. Alongside the virtual target we collect images of the real target in field trials to be used for comparison and evaluation. We discuss the results and compare the different methods. Certain methods seem more applicable to derive a robust measure of the signature of a given target (e.g. the physical model and ‘matcap’), while others seem more appropriate for deriving and testing new camouflage designs and concepts (e.g. light field method).
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用于创建签名评估的真实场景的混合模拟
要创建一个具有足够保真度的完整虚拟场景,以便用于特征/伪装评估是很复杂的。场景参数的微小差异可能会对结果产生巨大影响,而参数通常是未知的,这使得与真实环境/场景的比较变得困难。而不是完全虚拟场景,我们探索“混合”或“复合”的方法,其中虚拟目标是在记录图像的背景下模拟。事实证明,这种技术可以生成高度逼真的场景。在这里,我们探索并比较了创建虚拟目标的各种方法:i)目标的小物理模型,ii)在场景中记录探针球体的材料捕获(matcap),以及iii)结合BRDF的光场测量。除了虚拟目标外,我们还收集了实地试验中真实目标的图像,用于比较和评估。我们讨论了结果,并比较了不同的方法。某些方法似乎更适用于获得对给定目标特征的可靠测量(例如物理模型和“匹配帽”),而其他方法似乎更适合于获得和测试新的伪装设计和概念(例如光场法)。
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来源期刊
自引率
0.00%
发文量
34
审稿时长
9 weeks
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