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	DOI:10.1093/llc/fqx028

Corpus ID: 3141626Analyzing and visualizing ancient Maya hieroglyphics using shape: From computer vision to Digital Humanities
@article{Hu2017AnalyzingAV,
  title={Analyzing and visualizing ancient Maya hieroglyphics using shape: From computer vision to Digital Humanities},
  author={R. Hu and C. Pallan and J. Odobez and D. Gatica-Perez},
  journal={Digit. Scholarsh. Humanit.},
  year={2017},
  volume={32},
  pages={ii179-ii194}
}
	R. Hu, C. Pallan, +1 author D. Gatica-Perez
	Published 2017
	Art, Computer Science
	Digit. Scholarsh. Humanit.

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 discuss key issues for practitioners and study the effect that certain parameters have on the performance of the descriptor. Different HOOSC… Expand

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	Glyph
	Autodesk Maya
	Digital humanities
	Computer vision
	Directed graph
	Information visualization
	Force-directed graph drawing
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Analyzing Ancient Maya Glyph Collections with Contextual Shape Descriptors
	Edgar Román-Rangel, C. Pallan, J. Odobez, D. Gatica-Perez
	Computer Science
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Assessing a Shape Descriptor for Analysis of Mesoamerican Hieroglyphics: A View Towards Practice in Digital Humanities
	R. Hu, J. Odobez, D. Gatica-Perez
	Geography, Computer Science
	DH
	2016

	3

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Multimedia Analysis and Access of Ancient Maya Epigraphy: Tools to support scholars on Maya hieroglyphics
	R. Hu, Gulcan Can, +6 authors D. Gatica-Perez
	Computer Science
	IEEE Signal Processing Magazine
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Reading Maya Art: A Hieroglyphic Guide to Ancient Maya Painting and Sculpture
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Statistical Shape Descriptors for Ancient Maya Hieroglyphs Analysis
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	Geography
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