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dc.contributor.authorLu, Minen_US
dc.contributor.authorZheng, Boen_US
dc.contributor.authorTakamatsu, Junen_US
dc.contributor.authorNishino, Koen_US
dc.contributor.authorIkeuchi, Katsushien_US
dc.contributor.editorFranco Niccolucci and Matteo Dellepiane and Sebastian Pena Serna and Holly Rushmeier and Luc Van Goolen_US
dc.date.accessioned2013-10-31T10:32:22Z
dc.date.available2013-10-31T10:32:22Z
dc.date.issued2011en_US
dc.identifier.isbn978-3-905674-34-7en_US
dc.identifier.issn1811-864Xen_US
dc.identifier.urihttp://dx.doi.org/10.2312/VAST/VAST11/161-168en_US
dc.description.abstractThe 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.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Curve, surface, solid, and object representationsen_US
dc.titlePreserving the Khmer Smile: Classifying and Restoring the Faces of Bayonen_US
dc.description.seriesinformationVAST: International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritageen_US


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