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Abstract: In the second half of the 20th century, Chinese opera, one of the oldest dramatic art forms with many different styles, underwent a serious decline. As several of these styles are on the verge of extinction, traditional methods to document Chinese opera are in progress—collecting and cross-referencing scripts, pictures, audios and videos. What appeal most in Chinese opera are the exaggerated painted facial make-up and expressions. Clearly, 3D facial animation technology is well suited for documenting this ancient dramatic art form. In this paper, we describe an experimental 3D graphics system for documenting Chinese opera facial make-up and expressions, which we have been developing over the last 3 years. Since realism is of utmost importance, we have architected our approach on the use of 3D scanners for capturing performers’ facial poses. Direct morphing of these 3D scanned facial poses can provide us animated facial expressions, but requires a number of significant technical issues to be resolved. The rest of this paper describes this system and the major issues that are addressed along with some experimental results. [Copyright &y& Elsevier]

Abstract: In this paper, we propose a system for semantic modeling of southeast China vernacular urban. This system converts the basic modeling components of geometry units such as points, lines, and triangles, etc., into the semantic components such as streets, blocks, patches, and houses, etc. To implement the urban modeling system semantically, an XML based description and DTD [ISO/TC 211/WG 4/PT 19136 Geographic information—Geography Markup Language (GML) https://portal.opengeospatial.org/files/?artifact_id=7174] based verification technique is used to control the generation process of urban, and this DTD based verification technique can avoid the disadvantage of the grammar system and can ensure the coherent architecture styles of ancient vernacular houses. It has been applied to preserve the digital heritage of southeast China vernacular architecture. [Copyright &y& Elsevier]