Search Results (8)

Through an interdisciplinary study of the work of Jesuit Athanasius Kircher (1602–1680), the authors investigate the relationship between the cultural policies of the Roman Curia, the Jesuit order, religious diversity, and the aesthetic–spatial configuration of Rome during the early modern age. This paper shares in-depth observations of the recovery of ancient culture and its reworking in a post-reformist Christian age through architectural and spatial elements adopted to endorse the continuity of the ancient past and the Catholic reformistic universalistic aspirations. In this context, Kircher worked to decipher hieroglyphics on obelisks of the Imperial age but from Egyptian times. These defined a specific topography of space as a visual convergence of points: an urban geography of sacral and historical–political value and a connection with the memories of the Roman Empire and the most ancient religions of the ancient times. Full article

Drawing on methods and theories from the history of emotions, this paper examines the Twin Stelae that flank the entrance into Ramses II’s Great Temple at Abu Simbel in order to investigate the feelings associated with ancient Egyptian kingship from an ideological perspective. As the ruler, what was the king himself supposed to feel, and what feelings was he meant to elicit in his subjects? How did the feelings of the king differ from those of his subjects, and how did all these feelings reinforce and reify the institution of kingship and royal power? In order to propose some answers to these complex questions, I offer a close reading of key words and passages on the Stelae, considering the choice of hieroglyphic signs that the artists used to write them, the ways in which the artists depicted these signs, and the context of the words and passages within the inscriptions. I then use the Stelae’s text to consider how ancient viewers were meant to see and experience the monumental façade of the Great Temple. Full article

In his On the Art of Building, Renaissance humanist Leon Battista Alberti wrote that the ancient Egyptians believed that alphabetical languages would one day all be lost, but the pictorial method of writing they used could be understood easily by intellectuals everywhere and far into the future. Amidst a renewed appreciation of ancient Egyptian hieroglyphics found on obelisks in Italy and the discovery of Horapollo’s Hieroglyphica, which purported to translate the language, Renaissance humanists like Alberti developed an obsession with this ancient form of non-alphabetical writing. Additionally, a growing awareness of the lost language of their Etruscan ancestors further ignited an anxiety among Italian humanists that their own ideas might one day become unintelligible. As Egyptomania spread through the Italian peninsula, some saw an answer to their fears in the pictorial hieroglyphics of the ancient Egyptians, for they perceived, in Egyptian writing, the potential for a universal language. Thus, many created Renaissance hieroglyphs based on those of the Egyptians. This essay examines the successes and failures of these neo-hieroglyphs, which early modern humanists and artists created hoping that a language divorced from alphabetical text might better convey the memory of their names and contributions to posterity. Full article

The objective of this work is to show the application of a Deep Learning algorithm able to operate the segmentation of ancient Egyptian hieroglyphs present in an image, with the ambition to be as versatile as possible despite the variability of the image source. The problem is quite complex, the main obstacles being the considerable amount of different classes of existing hieroglyphs, the differences related to the hand of the scribe as well as the great differences among the various supports, such as papyri, stone or wood, where they are written. Furthermore, as in all archaeological finds, damage to the supports are frequent, with the consequence that hieroglyphs can be partially corrupted. In order to face this challenging problem, we leverage on the well-known Detectron2 platform, developed by the Facebook AI Research Group, focusing on the Mask R-CNN architecture to perform segmentation of image instances. Likewise, for several machine learning studies, one of the hardest challenges is the creation of a suitable dataset. In this paper, we will describe a hieroglyph dataset that has been created for the purpose of segmentation, highlighting its pros and cons, and the impact of different hyperparameters on the final results. Tests on the segmentation of images taken from public databases will also be presented and discussed along with the limitations of our study. Full article

This is a short introduction to the hieroglyphic nature of ancient Egyptian material culture and its polyvalence using a bronze statuette of a lioness-headed goddess in front of an obelisk (formerly in the Omar Pasha Sultan Collection) as a case study. Because the lioness is not identified by an accompanying inscription, the essay demonstrates methods by which the identification and significance of the image can be unpacked. Full article

A multi-analytical study was carried out on an ancient Egyptian limestone stele with red figures and hieroglyphs (S. 6145) coming from the village of Deir el-Medina and belonging to the collection of the Museo Egizio (Turin, Italy). With the support of a multidisciplinary team, a project for the preservation and conservation of this stele provided an opportunity to carry out a very detailed study of the object. Petrographic and mineralogical analysis led to the characterization and dating of the limestone, and ultrasonic tests were of great help in shedding light on the state of preservation of the stele, as a preliminary to planning conservation treatment. The chemical nature of the red pigment was investigated by non-invasive spectroscopic analyses. Multispectral imaging and statistical image processing improved the readability of the hieroglyphs, whose preservation ranged from heavily compromised to almost completely invisible, revealing some signs that had previously not been visible. Full article

Ancient Egyptians had a complex religion, which was active for longer than the time that has passed since Cleopatra until our days. One amazing belief was to be buried with funerary statuettes to help the deceased carry out his/her tasks in the underworld. These funerary statuettes, mainly known as shabtis, were produced in different materials and were usually inscribed in hieroglyphs with formulas including the name of the deceased. Shabtis are important archaeological objects which can help to identify the owners, their jobs, ranks or their families. They are also used for tomb dating because, depending on different elements: color, formula, tools, wig, hand positions, etc., it is possible to associate them to a concrete type or period of time. Shabtis are spread all over the world, in excavations, museums or private collections, and many of them have not been studied and identified because this process requires a deep study and reading of the hieroglyphs. Our system is able to solve this problem using two different YOLO v3 networks for detecting the figure itself and the hieroglyphic names, which provide identification and cataloguing. Until now, there has been no other work on the detection and identification of shabtis. In addition, a semantic approach has been followed, creating an ontology to connect our system with the semantic metadata aggregator, Europeana, linking our results with known shabtis in different museums. A complete dataset has been created, a comparison with previous technologies for similar problems has been provided, such as SIFT in the ancient coin classification, and the results of identification and cataloguing are shown. These results are over similar problems and have led us to create a web application that shows our system and is available on line. Full article

This work presents a novel strategy to decipher fragments of Egyptian cartouches identifying the hieroglyphs of which they are composed. A cartouche is a drawing, usually inside an oval, that encloses a group of hieroglyphs representing the name of a monarch. Aiming to identify these drawings, the proposed method is based on several techniques frequently used in computer vision and consists of three main stages: first, a picture of the cartouche is taken as input and its contour is localized. In the second stage, each hieroglyph is individually extracted and identified. Finally, the cartouche is interpreted: the sequence of the hieroglyphs is established according to a previously generated benchmark. This sequence corresponds to the name of the king. Although this method was initially conceived to deal with both high and low relief writing in stone, it can be also applied to painted hieroglyphs. This approach is not affected by variable lighting conditions, or the intensity and the completeness of the objects. This proposal has been tested on images obtained from the Abydos King List and other Egyptian monuments and archaeological excavations. The promising results give new possibilities to recognize hieroglyphs, opening a new way to decipher longer texts and inscriptions, being particularly useful in museums and Egyptian environments. Additionally, devices used for acquiring visual information from cartouches (i.e., smartphones), can be part of a navigation system for museums where users are located in indoor environments by means of the combination of WiFi Positioning Systems (WPS) and depth cameras, as unveiled at the end of the document. Full article