Analysis of Cypriot Icon Faces using ICA-Enhanced Active Shape Model Representation

Guifang Duan (1), Neela Sawant (3), James Z. Wang (3,5), Dean Snow (4), Danni Ai (2) and Yen-Wei Chen (2)
(1) The Institute of Science & Engineering, Ritsumeikan University, Kusatsu, Japan
(2) Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Japan
(3) College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, USA
(4) Department of Anthropology, The Pennsylvania State University, University Park, PA, USA
(5) Office of International Science and Engineering, National Science Foundation, Arlington, USA
Abstract:

Religious iconography is an integral component of the cultural heritage of Cyprus, which was once a part of the great Byzantine empire. On one hand, icons exhibit strict adherence to conventional symbols, poses and apparel. On the other hand, there is a great variety in the style of depiction that can be attributed to different schools and periods of Cypriot history. In this paper, we propose an active shape model (ASM) based technique to represent facial characteristics of icons. Such representation can potentially be used to compare icon styles and identify attributes of unidentified icons. For centuries-old icons suffering from loss of paint, cracks and added noise from digitization artifacts, we apply an independent component analysis (ICA) technique to enhance the paintings' original work. The experimental results show that our method can effectively characterize Cypriot icons.


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Citation: Guifang Duan, Neela Sawant, James Z. Wang, Dean Snow, Danni Ai and Yen-Wei Chen, ``Analysis of Cypriot Icon Faces using ICA-Enhanced Active Shape Model Representation,'' Proceedings of the ACM Multimedia Conference, pp. 901-904, Scottsdale, Arizona, ACM, November 2011.

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Last Modified: August 14, 2011
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