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中国古代国家礼仪场景人物数字化驱动方法研究

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本研究旨在探索中国古代国家礼仪场景人物的数字化驱动方法,以《大驾卤簿图》为研究对象,通过三维重构技术实现古代礼仪场景的数字化再现和动态展示。研究集成了图像处理、深度学习、三维建模、动作捕捉、姿态估计和知识图谱等多种技术,精确提取并模拟了图中人物和物品的动态表现。利用卷积神经网络等现代图像处理技术,从复杂图像中提取特征,为三维建模提供数据基础。动作捕捉技术记录人物运动数据,结合姿态估计技术,使静态图像动态化,增强了视觉体验。知识图谱技术整合了图像数据、动作数据和历史资料,建立了全面的数据库,为三维重构提供数据支持。以明代宫廷绘画《大驾卤簿图》为例,通过三维重构技术,成功实现了礼仪场景的数字化再现和动态展示。尽管存在数据来源的局限和技术创新的挑战,该成果为文化遗产的数字化保护和展示提供了新的视角和方法,增强了文化传播效果,提高了公众对文化遗产的认知和兴趣。
Research on Digital Driving Method of Characters in Ancient Chinese National Etiquette Scene
The purpose of the study is to explore the digital driving method of the characters in the ancient Chinese national etiquette scene.Taking"Da Jia Lu Bu Tu"as the research object,the digital reproduction and dynamic display of the ancient etiquette scene are realized through the three-dimensional reconstruction technology.The research integrates various technologies such as image processing,deep learning,3D modeling,motion capture,pose estimation,and knowledge graph to accurately extract and simulate the dynamic performance of people and objects in the image.Using modern image processing techniques such as convolutional neural networks,features are extracted from complex images to provide a data basis for 3D modeling.The motion capture technology records the motion data of the characters,and combines the pose estimation technology to make the static image dynamic and enhance the visual experience.Knowledge graph technology integrates image data,action data and historical data,and establishes a comprehensive database,which provides data support for three-dimensional reconstruction.Taking the Ming Dynasty palace painting"Da Jia Lu Bu Tu"as an example,we have successfully achieved digital reproduction and dynamic display of ceremonial scenes through 3D reconstruction technology.Despite the limitations of data sources and the challenges of technological innovation,the results of the study provide a new perspective and method for the digital protection and display of cultural heritage,enhance the effect of cultural communication,and improve the public's awareness and interest in cultural heritage.

cultural heritagedigital driven3D modelingknowledge graphdatabase

周蓬勃、安丽、王勇

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北京师范大学艺术与传媒学院,北京 100875

西北大学信息科学与技术学院,陕西西安 710127

文化遗产 数字驱动 三维建模 知识图谱 数据库

2024

计算机技术与发展
陕西省计算机学会

计算机技术与发展

CSTPCD
影响因子:0.621
ISSN:1673-629X
年,卷(期):2024.34(12)