高晶,陈晓臻

• 1:青岛农业大学

摘要(Abstract)：

为了提高人物动作的三维虚拟重构和识别能力,需进行人物动作的特征提取和捕捉,故提出基于AR动态图像的人物动作捕捉技术。采用三维动态跟踪识别方法进行人物动作的动态图像特征提取,利用AR虚拟现实技术进行人物动态图像的包络轮廓分割,绘制反应人物动作特征的灰度直方图,结合Harris角点跟踪检测方法进行人物动作捕捉,实现人物动态图像三维虚拟成像重构和动作的实时捕捉。仿真结果表明,采用该方法进行人物动作捕捉的动态特征匹配能力较好,对动态特征点的检测性能较高,具有较好的人物动态图像虚拟重构和识别能力。

关键词(KeyWords)： AR动态图像;人物动作;轮廓分割;特征提取;识别能力;检测方法

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 高晶,陈晓臻

DOI: 10.16652/j.issn.1004-373x.2018.08.035

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