Virtual Scenes Construction Promotes Traditional Chinese Art Preservation
Authors: Liang, H., Bao, F., Sun, Y., Ge, C. and Chang, J.
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 13002 LNCS
Pages: 621-632
eISSN: 1611-3349
ISBN: 9783030890285
ISSN: 0302-9743
DOI: 10.1007/978-3-030-89029-2_46
Abstract:Chinese traditional opera is a valuable and fascinating heritage assert in the world as one of the most representative folk art in Chinese history. Its characteristic of ‘suppositionality’ in stage scenery provides a possibility of preservation of cultural heritage by digitization means, e.g., 3D Animation and Virtual Reality-based art show. In this novel digitization art form, the construction of virtual scenes is an important pillar--variety of created models should be accommodated to provide a vivid performance stage, including stage props and background. However, the generation of scenes based on traditional manual 3D virtual props modelling method is a tedious and strenuous task. In this paper, a novel shadow puppetry virtual stage scenes construction approach based on semantic and prior probability is proposed for the generation of compositional virtual scenes. First, primitive models based on semantics text segmentation and retrieval is provided for scene composition; and then, scene placement algorithm based on prior probability is conducive to assign these 3D models within virtual scene. This method is tested by generating the virtual performance stage for our shadow puppetry prototype system, within which various traditional art-specific 3D models are assembled. Its ease of use can assist artists to create visually plausible virtual stage without professional scene modelling skill. The user study indicates our approach’s effectiveness and its efficiency.
https://eprints.bournemouth.ac.uk/36270/
Source: Scopus
Virtual Scenes Construction Promotes Traditional Chinese Art Preservation
Authors: Liang, H., Bao, F., Sun, Y., Ge, C. and Chang, J.
Journal: ADVANCES IN COMPUTER GRAPHICS, CGI 2021
Volume: 13002
Pages: 621-632
eISSN: 1611-3349
ISBN: 978-3-030-89028-5
ISSN: 0302-9743
DOI: 10.1007/978-3-030-89029-2_46
https://eprints.bournemouth.ac.uk/36270/
Source: Web of Science (Lite)
Virtual Scenes Construction Promotes Traditional Chinese Art Preservation
Authors: Liang, H., Bao, F., Sun, Y., Ge, C. and Chang, J.
Conference: Computer Graphics International Conference CGI 2021: Advances in Computer Graphics
Pages: 621-632
Publisher: Springer
ISBN: 9783030890285
ISSN: 0302-9743
Abstract:Chinese traditional opera is a valuable and fascinating heritage assert in the world as one of the most representative folk art in Chinese history. Its characteristic of ‘suppositionality’ in stage scenery provides a possibility of preservation of cultural heritage by digitization means, e.g., 3D Animation and Virtual Reality-based art show. In this novel digitization art form, the construction of virtual scenes is an important pillar--variety of created models should be accommodated to provide a vivid performance stage, including stage props and background. However, the generation of scenes based on traditional manual 3D virtual props modelling method is a tedious and strenuous task. In this paper, a novel shadow puppetry virtual stage scenes construction approach based on semantic and prior probability is proposed for the generation of compositional virtual scenes. First, primitive models based on semantics text segmentation and retrieval is provided for scene composition; and then, scene placement algorithm based on prior probability is conducive to assign these 3D models within virtual scene. This method is tested by generating the virtual performance stage for our shadow puppetry prototype system, within which various traditional art-specific 3D models are assembled. Its ease of use can assist artists to create visually plausible virtual stage without professional scene modelling skill. The user study indicates our approach’s effectiveness and its efficiency.
https://eprints.bournemouth.ac.uk/36270/
Source: BURO EPrints