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Dance Performance in New Rural Areas Based on 3D Image Reconstruction Technology
1College of Music and Dance, Yulin Normal University, Yulin 537000, Guangxi, China.
Computational Intelligence and Neuroscience
|June 7, 2022
Summary
This study uses 3D reconstruction to digitally preserve and display traditional rural dances from southeast Guangxi. This innovative approach aids in the inheritance and development of folk dance culture.
Area of Science:
- Computer Science
- Digital Humanities
- Cultural Heritage Studies
Background:
- New rural areas foster unique regional dance arts due to their environment and culture.
- Traditional folk dance faces challenges in preservation and dissemination.
- Computer-aided technology offers novel methods for cultural heritage reconstruction.
Purpose of the Study:
- To reconstruct and display the essence of rural dance art using 3D image reconstruction technology.
- To develop a dance display scheme for new rural areas.
- To provide insights for the inheritance and development of traditional folk dance culture.
Main Methods:
- Acquisition of image information and application of image matching algorithms for dance pose estimation.
- 3D reconstruction for simplifying extracted dance sequences and texture mapping.
- Utilizing dataset extraction effects, dance similarity comparisons, and user authenticity scores for evaluation.
Main Results:
- Successful acquisition and processing of dance data from southeast Guangxi.
- Demonstration of a viable 3D dance display scheme for new rural areas.
- Quantitative and qualitative evaluation of five dance types using established metrics.
Conclusions:
- 3D image reconstruction technology is effective for preserving and displaying rural dance art.
- The proposed scheme offers a pathway for the inheritance and development of traditional folk dance.
- Digital reconstruction enhances accessibility and understanding of cultural heritage.

