摘要
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。
To improve the 3D virtual reconstruction and recognition capability of character actions,feature extraction and capture of character actions need to be performed.Therefore,a character action capture technology based on AR dynamic imag-es is proposed.The 3D dynamic tracking recognition method is adopted to extract dynamic image features of character actions.The AR virtual reality technology is used to segment the envelope contour of charactersr dynamic images and draw the gray histo-gram which reflects action features of characters.The Harris corner tracking detection method is combined to capture character actions and realize 3D virtual image reconstruction and real-time action capture of charactersr dynamic images.The simulation re-sults show that the method for capturing character actions has good dynamic feature matching capability,good dynamic feature point detection performance,and good virtual reconstruction and recognition capability of characters'dynamic images.
作者
高晶
陈晓臻
GAO Jing;CHEN Xiaozhen(Qingdao Agricultural University,Qingdao 266109,China)
出处
《现代电子技术》
北大核心
2018年第8期144-146,150,共4页
Modern Electronics Technique
关键词
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
AR dynamic image
character action
contour segmentation
feature extraction
recognition capability
detection method
