Carlos PallanUniversity of Bonn | Uni Bonn · Abteilung für Altamerikanistik und Ethnology
Carlos Pallan
M.A., Doktorand
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15
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Introduction
Carlos Pallan currently works at the Abteilung für Altamerikanistik und Ethnology, University of Bonn and collaborates with the University of California at Berkeley. Carlos does research in Mayan Archaeology and Epigraphy, Mayan Hieroglyphs, Digital Humanities, Artificial Intelligence, Computer Graphics and Algorithms. Their most recent publication is 'Transferring Neural Representations for Low-Dimensional Indexing of Maya Hieroglyphic Art.'
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Publications
Publications (15)
Maya hieroglyphic analysis requires epigraphers to spend a significant amount of time browsing existing catalogs to identify individual glyphs. Automatic Maya glyph analysis provides an efficient way to assist scholars’ daily work. We introduce the Histogram of Orientation Shape Context (HOOSC) shape descriptor to the Digital Humanities community....
We analyze the performance of deep neural architectures for extracting shape representations of binary images, and for generating low-dimensional representations of them. In particular, we focus on indexing binary images exhibiting compounds of Maya hieroglyphic signs, referred to as glyph-blocks, which constitute a very challenging dataset of arts...
This article presents an integrated framework for multimedia access and analysis of ancient Maya epigraphic resources, which is developed as an interdisciplinary effort involving epigraphers (someone who deciphers ancient inscriptions) and computer scientists. Our work includes several contributions: a definition of consistent conventions to genera...
We propose an automatic Maya hieroglyph retrieval method integrating shape and glyph context information. Two recent local shape descriptors, Gradient Field Histogram of Orientation Gradient (GF-HOG) and Histogram of Orientation Shape Context (HOOSC), are evaluated. To encode the context information, we propose to convert each Maya glyph block into...
We present an overview of the MAAYA project (http://www.idiap.ch/project/maaya/), an interdisciplinary effort integrating the work of epigraphists and computer scientists with three goals: (1) Design and development of computational tools for visual analysis and information management that effectively support the work of Maya hieroglyphic scholars;...
Los calendarios mayas. Una introducción general
Carlos Pallán Gayol
Lo que llamamos “calendario maya” representa en realidad un amplio sistema calendárico, compuesto de un conjunto de ciclos distintos aunque íntimamente entrelazados, cada uno con sus propios propósitos rituales, astronómicos, agrícolas o de otro orden. El calendario maya no puede...
Archaeologists often spend significant time looking at traditional printed catalogs to identify and classify historical images. Our collaborative efforts between archaeologists and multimedia researchers seek to develop a tool to retrieve two specific types of ancient Maya visual information: hieroglyphs and iconographic elements. Towards that goal...
This paper presents an original approach for shape-based analysis of ancient Maya hieroglyphs based on an interdisciplinary collaboration between computer vision and archaeology. Our work is guided by realistic needs of archaeologists and scholars who critically need support for search and retrieval tasks in large Maya imagery collections. Our pape...
We present an overview of the CODICES project, an interdisciplinary approach for analysis of pre-Columbian collections of pictorial materials – more specifically, of Maya hieroglyphics. We discuss some of the main scientific and technical challenges that we have found in our work, and present a summary of our current technical achievements. This ov...