"Third-Person" Augmented Reality-Based Interactive Chinese Drama

Zhang, Yanxiang; Fangbemi, Abassin Sourou

doi:10.1109/culture.and.computing.2015.21

Cited by 2 publications

(1 citation statement)

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“…Shadow puppetry [2], figure silhouette made of animal skin or cardboard to tell folk stories, carries and contains the Chinese culture inherited from our ancestors. However, the form of shadow puppetry is more and more out of step with the rapid development of the times [3,4]. The inheritance of cultural heritage faces great challenges.…”

Section: Introductionmentioning

confidence: 99%

Virtual Scenes Construction Promotes Traditional Chinese Art Preservation

Liang

Bao

Sun

et al. 2021

Advances in Computer Graphics

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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.

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Section: Introductionmentioning

confidence: 99%