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通过光谱成像改善 3D 摄影测量模型:以牙釉质为例。

Improving 3D photogrammetry models through spectral imaging: Tooth enamel as a case study.

机构信息

Biological Collection and Data Management, Royal Museum for Central Africa, Tervuren, Belgium.

Scientific Heritage Service, Royal Belgian Institute of Natural Sciences, Brussels, Belgium.

出版信息

PLoS One. 2019 Aug 13;14(8):e0220949. doi: 10.1371/journal.pone.0220949. eCollection 2019.

Abstract

Reflective or translucent materials are a challenge to digitize in 3D. Results are better with a matt coating although objects from museum collections are often too fragile or too valuable to be treated in this way. It is therefore essential that alternative solutions are found. This study analyzed spectral photogrammetry as a possible solution. Spectral photogrammetry is an emerging technique which uses images at different wavelengths to create 3D models. Tooth enamel is a challenging material to digitize. Six sets of teeth were photographed at different wavelengths. The results showed that the quality of the models enamels parts improved when taken with ultraviolet wavelengths whilst models were less accurate when photogrammetry was performed with the red and infrared spectrum. This can be explained by the optical properties of enamel. This study demonstrates that knowing the optical properties of a material beforehand could help future photogrammetric digitization of challenging materials.

摘要

反光或半透明材料在三维数字化中是一个挑战。尽管博物馆收藏的物品通常过于脆弱或过于珍贵而无法以这种方式处理,但使用哑光涂层可以获得更好的结果。因此,必须找到替代解决方案。本研究分析了光谱摄影测量作为一种可能的解决方案。光谱摄影测量是一种新兴技术,它使用不同波长的图像来创建三维模型。牙釉质是一种具有挑战性的数字化材料。六组牙齿在不同的波长下拍摄。结果表明,当使用紫外线波长拍摄时,牙釉质部分的模型质量有所提高,而当使用红色和红外线光谱进行摄影测量时,模型的准确性降低。这可以用牙釉质的光学特性来解释。本研究表明,事先了解材料的光学特性可能有助于未来对具有挑战性的材料进行摄影测量数字化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed2b/6692069/c861d8493c2a/pone.0220949.g001.jpg

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