基于人工智能技术的舞台表演布置设计

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS
Ge Li
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引用次数: 0

摘要

舞台表演编排的主要目的是提高观众对舞台表演的满意度。为此,探索了基于人工智能技术的舞台演出编排设计方法。在舞台表演动作检索过程中,离线链接采用人工智能技术中基于四元数的帧距定义方法构建动作数据库有向图结构;实时链接确定有向图中相应的顶点和边。根据有向图中的顶点和边确定表演者的运动轨迹,并利用人工智能技术中的多分辨率滤波算法提取表演者运动轨迹中的运动路径。通过缩放处理,映射表演者的运动轨迹,得到舞台表演布置的目标路径。在目标路径的基础上,通过安排表演者根关节的控制位置和纠正表演者的方向,重构表演者在舞台表演过程中的运动轨迹,并结合舞台表演运动段的位置安排实现舞台表演布局设计。实验结果表明,该方法可以准确规划表演者的路径,提高用户对舞台表演的满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stage performance layout design based on artificial intelligence technology
The main purpose of stage performance arrangement is to improve the audience’s satisfaction with the stage performance. For this purpose, the stage performance arrangement design method based on artificial intelligence technology was explored. In the process of stage performance action retrieval, the offline link uses the method of frame distance definition based on quaternion in artificial intelligence technology to construct the structure of motion database digraph; the real-time link determines the corresponding vertex and edge in the digraph. According to the vertices and edges in the directed graph, the performer’s trajectory was determined, and the multi-resolution filtering algorithm in artificial intelligence technology was used to extract the motion path in the performer’s trajectory. The target path of stage performance arrangement was obtained by mapping the performer’s motion path through zoom processing. Based on the goal path, by arranging the control position of the performer’s root joint and correcting the direction of the performer, the movement track of the performer in the stage performance process was reconstructed, and the stage performance layout design was realized by combining with the position arrangement of the stage performance motion segment. The experimental results show that the method can accurately plan the performers’ path and improve the user’s satisfaction with the stage performance.
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来源期刊
CiteScore
2.80
自引率
23.10%
发文量
31
期刊介绍: The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
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