Classifying Ancient West Mexican Ceramic Figures Using Three-Dimensional Modelling and Machine Learning

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Classifying Ancient West Mexican Ceramic Figures Using Three-Dimensional Modelling and Machine Learning

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Author(s): Julia Forrester-Sellers , Alfredo Velasco , Robert Pickering , J C Diaz

Publication date (Print): July 2017

Conference name: Electronic Visualisation and the Arts (EVA 2017) (EVA)

Conference theme: Electronic Visualisation and the Arts

Conference date: 11 – 13 July 2017

Keywords: 3D Imaging, Applications, Archaeology, Collections, Cultural heritage, Interdisciplinary, Museums, Paper, Technology

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Abstract

This work involves the creation of a taxonomy of three-dimensional posture and gesture combinations represented by ceramic human figures associated with shaft and chamber tombs in the western coastal states of Nayarit, Jalisco, Michoacán and Colima of Mexico. Gordon Hewes (1966) proposed that posture and gesture of actual human subjects communicates a tremendous amount of information that was not being gathered on a consistent basis (Hewes 1966:106). While Hewes presented his paper on “The Domain Posture” fifty years ago, his observation rings true today. The three-dimensional taxonomy should demonstrate that posture and gesture are correlated with sexual characteristics and are not random, but rather, an illustration of a purposeful series of postures and gestures that transmit cultural meaning within the ancient constructs of West Mexican culture. There is an opportunity for anthropologists to begin seeing and evaluating and documenting the non-verbal communications made through posture and gesture both in artefacts crafted as figures, as in the case of the shaft tomb figures, and in modern cultural anthropology. The process of classification of the ceramic human figures according to posture and gesture takes three major steps: three-dimensional imaging, posture representation and finally classifying these representations. The three-dimensional imaging consists of creating three-dimensional models of the ceramic human figures. The posture representation consists of collecting measures of the fourteen major limb joints of the human body as they are represented in three-dimensional models of the ceramic figures. The last step is to use learning algorithms to classify the posture representation of the ceramic figures. The goal is to demonstrate the usefulness of the threedimensional imaging to accurately and consistently identify key posture/gesture combinations for comparison with other biological and cultural variables expressed by the figures. Initially, this project focuses on archaeological material located in the Gilcrease Museum collection in Tulsa, Oklahoma, but will also utilise other collections as points of comparison. While this work will identify patterns of posture and gesture within West Mexican ceramic shaft tomb figures, its application does not end there. With the utilisation of technology in the form of three-dimensional imaging, its application spans both archaeological material from other cultures and modern cultural anthropology. This technology can advance studies related to the cultural meaning of this important class of artefacts. From a musicological perspective, this technology could become a critical element in metadata collection to document collections.

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Author and article information

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Julia Forrester-Sellers

Alfredo Velasco

Robert Pickering

J C Diaz

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Publication date: July 2017

Publication date (Print): July 2017

Pages: 19-24

Affiliations

[0001]Department of Anthropology

University of Tulsa

800 S College Ave

Tulsa, Oklahoma 74104

USA

[0002]Tandy School of Computer Sciences

University of Tulsa

800 S College Ave

Tulsa, Oklahoma 74104

USA

Article

DOI: 10.14236/ewic/EVA2017.3

SO-VID: 8d8d9832-6de5-4b72-883d-ca96034a1264

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Electronic Visualisation and the Arts (EVA 2017)

Conference acronym: EVA

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Conference location: London, UK

Conference date: 11 – 13 July 2017

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Electronic Visualisation and the Arts

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2017.3

Self URI (journal page): https://ewic.bcs.org/

5. REFERENCES

G. Hewes 1955 World Distribution of Postural Habits American Anthropologist 57 2 231 44
G. Hewes 1966 Anthropological Linguistics, 8:8, Ethnoscience A Symposium Presented at the 1966 Meeting of Central States Anthropological Society 106 112
Gilcrease Museum, 54.4051, Kneeling woman ceramic effigy with hollow construction in Lagunillas style, Kravis Discovery Center. 300 BCE - 300 CE, https://collections.gilcrease.org/obiect/544051 21 March 2017
Gilcrease Museum, 54.3892, Seated female ceramic funerary effigy with hollow construction in Ixtlan del Rio style. Kravis Discovery Center, 300 BCE - 200 CE, https://collections.gilcrease.org/obiect/543892 21 March 2017
Unity. http://unity3d.com 21 March 2017
Intel® RealSense™ R200. Camera https://software.intel.com/en-us/articles/realsense-r200-camera 21 March 2017
Kinect. https://developer.microsoft.com/en-us/windows/kinect 21 March 2017
P. KohliJ. Shotton 2013 Key Developments in Human Pose Estimation for Kinect A. FossatiJ. GallH. GrabnerX. RenK. Konolige Consumer Depth Cameras for Computer Vision Advances in Computer Vision and Pattern Recognition Springer, London
R. B. Pickering (unpublished) Personal communication
R. B. PickeringC. Smallwood-Roberts 2014 The Visual Guide to West Mexico Shaft Tomb Ceramic Figures. University of Tulsa Tulsa, OK
ext-link-type="uri" xlink:href="Scikit-learn.org.">Scikit-learn.org. http://scikit-learn.org/stable/modules/tree.html#tree 21 March 2017

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[1] G. Hewes 1955 World Distribution of Postural Habits American Anthropologist 57 2 231 44

[2] G. Hewes 1966 Anthropological Linguistics, 8:8, Ethnoscience A Symposium Presented at the 1966 Meeting of Central States Anthropological Society 106 112

[3] Gilcrease Museum, 54.4051, Kneeling woman ceramic effigy with hollow construction in Lagunillas style, Kravis Discovery Center. 300 BCE - 300 CE, https://collections.gilcrease.org/obiect/544051 21 March 2017

[4] Gilcrease Museum, 54.3892, Seated female ceramic funerary effigy with hollow construction in Ixtlan del Rio style. Kravis Discovery Center, 300 BCE - 200 CE, https://collections.gilcrease.org/obiect/543892 21 March 2017

[5] Unity. http://unity3d.com 21 March 2017

[6] Intel® RealSense™ R200. Camera https://software.intel.com/en-us/articles/realsense-r200-camera 21 March 2017

[7] Kinect. https://developer.microsoft.com/en-us/windows/kinect 21 March 2017

[8] P. KohliJ. Shotton 2013 Key Developments in Human Pose Estimation for Kinect A. FossatiJ. GallH. GrabnerX. RenK. Konolige Consumer Depth Cameras for Computer Vision Advances in Computer Vision and Pattern Recognition Springer, London

[9] R. B. Pickering (unpublished) Personal communication

[10] R. B. PickeringC. Smallwood-Roberts 2014 The Visual Guide to West Mexico Shaft Tomb Ceramic Figures. University of Tulsa Tulsa, OK

[11] ext-link-type="uri" xlink:href="Scikit-learn.org.">Scikit-learn.org. http://scikit-learn.org/stable/modules/tree.html#tree 21 March 2017

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Classifying Ancient West Mexican Ceramic Figures Using Three-Dimensional Modelling and Machine Learning

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