Preserving the Khmer Smile: Classifying and Restoring the Faces of Bayon

Lu, Min; Zheng, Bo; Takamatsu, Jun; Nishino, Ko; Ikeuchi, Katsushi

Preserving the Khmer Smile: Classifying and Restoring the Faces of Bayon

Files

161-168.pdf (1.84 MB)

Date

2011

Authors

Lu, Min
Zheng, Bo
Takamatsu, Jun
Nishino, Ko
Ikeuchi, Katsushi

Publisher

The Eurographics Association

Abstract

The Bayon temple is known for its numerous massive stone faces with serene smiles, often referred to as the 'Khmer Smile.' Many of these sculptures are, however, only partially preserved, making it difficult to see the original appearance of these faces. To restore the Bayon faces, we propose a novel method that builds upon the matrix recovery theory. The method achieves accurate restoration by adopting a two-step shape recovery strategy. Rough restoration and clustering processes are first carried out using the entire database to group similar samples together. Then refined restoration using high resolution data is executed in each cluster to restore higher details while retaining the characteristics of each face. Experimental results demonstrate the effectiveness of our proposed method.

        @inproceedings{10.2312:VAST/VAST11/161-168
,
booktitle = {VAST: International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage
},
editor = {Franco Niccolucci and Matteo Dellepiane and Sebastian Pena Serna and Holly Rushmeier and Luc Van Gool
},
title = {{Preserving the Khmer Smile: Classifying and Restoring the Faces of Bayon
}},
author = {Lu, Min and 
Zheng, Bo and 
Takamatsu, Jun and 
Nishino, Ko and 
Ikeuchi, Katsushi
},
year = {2011
},
publisher = {The Eurographics Association
},
ISSN = {1811-864X
},
ISBN = {978-3-905674-34-7
},
DOI = {10.2312/VAST/VAST11/161-168
}
}