Documenting Dunhuang Dance Using Motion Capture Technology
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper introduces a pipeline for documenting Chinese Classical Dunhuang Dance using motion capture technology. Our captured dataset includes full-body movements documented across eight categories, totaling 40 minutes of professional dance (preview available at https://cislab.hkust-gz.edu.cn/projects/chang-e/). The dataset supports creative applications for Dunhuang dance culture, showcased in a new media immersive exhibition. We used motion inbetweening to concatenate dance sequences and synchronized them with music through retiming techniques, enhancing rhythm and harmony. Visual effects were applied to digital dancers, achieving visually appealing results that echo Buddhist meditation and bodily cognition. The Chang-E dataset enables digital preservation and creative reimagination of Dunhuang dance, offering highquality data and an interdisciplinary collaboration framework for future graphics and cultural heritage research.
Description
CCS Concepts: Computing methodologies → Animation; Applied computing → Arts and humanities
@inproceedings{10.2312:gch.20241250,
booktitle = {Eurographics Workshop on Graphics and Cultural Heritage},
editor = {Corsini, Massimiliano and Ferdani, Daniele and Kuijper, Arjan and Kutlu, Hasan},
title = {{Documenting Dunhuang Dance Using Motion Capture Technology}},
author = {Wang, Zeyu and He, Chengan and Yu, Borou and Lu, Chenchen and Wang, Eugene Y. and Yan, Zhe and Wang, Jiashun and Wang, Yingke and Liu, Junhua and Shen, Angela and Zeng, Mengying and Rushmeier, Holly and Xu, Huazhe},
year = {2024},
publisher = {The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-248-6},
DOI = {10.2312/gch.20241250}
}