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Imaging the Third Dimension of the Archimedes Palimpsest

机译:成像阿基米德Palimpsest的三维

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Data produced by conventional 2-dimensional imaging of manuscripts having surface relief can be augmented by use of techniques that measure the out-of-plane characteristics of the manuscript leaves. The third spatial dimension can additionally provide information regarding the arrangement of layered or successively deposited materials. Confocal microscopy allows exquisite lateral and depth resolution, and is an ideal tool for measurement of surface topography and for building a detailed 3-dimensional model of translucent materials and structures. Our investigation of the Archimedes Palimpsest has utilized confocal microscopy to probe the distribution of faint remnants of 10th century (Archimedean) undertext, 12th century overtext, and more recent forged paintings. Image stacks are assembled from 2-dimensional confocal images acquired at different depths, and adjacent stacks are mosaiced to give a volumetric model of regions of selected regions of interest within the palimpsest's leaves. In particular, visible spectrum (533 nm) images obtained using confocal microscopy are used to examine different strata of substrate, text, and paint in folios containing 20th century forged paintings. These data are used to improve recognition of the different classes of content. Because confocal microscopy typically utilizes high magnification (5x or greater) and a limited field of view (typically less than 1 cm x 1 cm), confocal imaging of large areas must take into account the computational resources needed to combine and process the large data sets involved. In this paper we discuss confocal microscopy methodologies, tools, and wavelengths that address these issues and are appropriate for measurement of materials in museum and library collections.
机译:由具有表面起伏的手稿的常规二维成像产生的数据可通过使用测量手稿叶的平面外特征的技术来增强。第三空间维度可以另外提供关于分层的或连续沉积的材料的布置的信息。共聚焦显微镜可实现出色的横向和深度分辨率,是测量表面形貌以及构建半透明材料和结构的详细3维模型的理想工具。我们对阿基米德·帕林普斯特(Archimedes Palimpsest)的研究利用共聚焦显微镜来探究10世纪(阿基米德)暗淡的文字,12世纪的暗淡文字和最近的伪造绘画的分布。图像堆栈由在不同深度获取的二维共焦图像组装而成,并且将相邻的堆栈镶嵌在一起,以给出最淡叶中所选感兴趣区域的区域的体积模型。特别是,使用共聚焦显微镜获得的可见光谱(533 nm)图像用于检查包含20世纪伪造绘画的作品集中的基材,文本和涂料的不同层次。这些数据用于改善对不同类别的内容的识别。因为共聚焦显微镜通常使用高放大倍率(5倍或更高)和有限的视野(通常小于1 cm x 1 cm),所以大面积的共聚焦成像必须考虑到合并和处理大数据集所需的计算资源参与。在本文中,我们讨论了共聚焦显微镜方法,工具和波长,这些方法解决了这些问题,适用于测量博物馆和图书馆馆藏中的材料。

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