ABSTRACT

Landscape reconstructions and deep maps are two major approaches in cultural heritage studies. In general, they require the use of historical visual sources such as maps, graphic artworks, and photographs presenting areal scenes, from which one can extract spatial information. However, photographs, the most accurate and reliable source for scenery reconstruction, are available only from the second half of the 19^th century onward. Thus, for earlier periods one can rely only on old artworks. Nevertheless, the accuracy and inclusiveness of old artworks are often questionable and must be verified carefully.In this paper, we use GIScience methods with computer-vision capabilities to interrogate old engravings and drawings as well as to develop a new approach for extracting spatial information from these scenic artworks. We have inspected four old depictions of Jerusalem and Tiberias (Israel) created between the 17^th and 19^th centuries. Using visibility analysis and a RANSAC algorithm we identified the locations of the artists when they drew the artworks and evaluated the accuracy of their final products. Finally, we re-projected 3D map digitized features onto the drawing canvases, thus embedding features not originally drawn. These were then identified, enabling potential extraction of the spatial information they may reflect.

Video abstract is available at: https://youtu.be/dmt74VKsfF8

摘要

景观重建和深度地图是文化遗产研究的两种主要方法。一般而言，它们需要使用历史视觉资源，例如地图、图形艺术品和呈现区域场景的照片，从中可以提取空间信息。然而，作为风景重建最准确可靠来源的照片，只有19^世纪下半月才有。 世纪以后。因此，在较早时期，人们只能依靠旧艺术品。然而，旧艺术品的准确性和包容性往往值得怀疑，必须仔细验证。 在本文中，我们使用具有计算机视觉能力的 GIScience 方法来询问旧版画和图纸，并开发一种从其中提取空间信息的新方法。这些风景优美的艺术品。我们已检查了17间产生耶路撒冷和太巴列（以色列）拥有4分孩子的描写^日 和19^日 世纪。使用可见性分析和 RANSAC 算法，我们确定了艺术家绘制艺术品时的位置，并评估了他们最终产品的准确性。最后，我们将 3D 地图数字化特征重新投影到绘图画布上，从而嵌入了最初未绘制的特征。然后对这些进行识别，从而能够潜在地提取它们可能反映的空间信息。

视频摘要可在：https://youtu.be/dmt74VKsfF8