Minimal camera networks for 3D image based modeling of cultural heritage objects.

Minimal camera networks for 3D image based modeling of cultural heritage objects.
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DOI:
10.3390/s140405785
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发表时间:
2014-03-25
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Jasim L
Jasim L
中科院分区:
其他
文献类型:
--
作者:
Alsadik B;Gerke M;Vosselman G;Daham A;Jasim L

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文物、雕像和建筑等文化遗产的3D建模如今是虚拟博物馆、保护和修复的重要工具。本文介绍了一种用于文物三维建模的最小成像网络自动设计方法。在记录大型和复杂的站点时,这对于减少图像捕获时间和处理非常重要。此外,这种最小的相机网络设计对于博物馆和其他考古遗址的非数字记录的文物成像是理想的,以避免长时间打扰游客和/或移动精致的珍贵物品来完成记录任务。该方法在伊拉克著名雕像“拉马苏”上进行了试验。Lamassu是阿舒尔纳西帕尔二世(公元前883-859年)时代的一头长着翅膀的人头公牛,身高超过4.25米。3D建模任务采用近距离摄影测量,在Lamassu周围以1 mm的对象样本距离捕获了45张高分辨率图像的密集有序成像网络。这些图像构成了一个密集的网络,我们的研究目的是应用我们的方法来减少用于3D建模的图像数量,同时保持预定义的点精度。临时控制点均匀地固定在Lamassu的身体上,并使用全站仪进行测量,用于外部验证和缩放目的。实现了两种网络滤波方法,并使用了三种不同的软件包来研究在滤波(约简)图像网络中图像定向和雕像建模的效率。内部和外部验证结果证明,最小图像网络在可视化、完整性、处理时间(减少60%)和最终精度为1 mm方面可以提供高精度的记录和效率。
3D modeling of cultural heritage objects like artifacts, statues and buildings is nowadays an important tool for virtual museums, preservation and restoration. In this paper, we introduce a method to automatically design a minimal imaging network for the 3D modeling of cultural heritage objects. This becomes important for reducing the image capture time and processing when documenting large and complex sites. Moreover, such a minimal camera network design is desirable for imaging non-digitally documented artifacts in museums and other archeological sites to avoid disturbing the visitors for a long time and/or moving delicate precious objects to complete the documentation task. The developed method is tested on the Iraqi famous statue “Lamassu”. Lamassu is a human-headed winged bull of over 4.25 m in height from the era of Ashurnasirpal II (883–859 BC). Close-range photogrammetry is used for the 3D modeling task where a dense ordered imaging network of 45 high resolution images were captured around Lamassu with an object sample distance of 1 mm. These images constitute a dense network and the aim of our study was to apply our method to reduce the number of images for the 3D modeling and at the same time preserve pre-defined point accuracy. Temporary control points were fixed evenly on the body of Lamassu and measured by using a total station for the external validation and scaling purpose. Two network filtering methods are implemented and three different software packages are used to investigate the efficiency of the image orientation and modeling of the statue in the filtered (reduced) image networks. Internal and external validation results prove that minimal image networks can provide highly accurate records and efficiency in terms of visualization, completeness, processing time (>60% reduction) and the final accuracy of 1 mm.
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