论文标题
部分可观测时空混沌系统的无模型预测
Markerless Body Motion Capturing for 3D Character Animation based on Multi-view Cameras
论文作者
论文摘要
本文提出了一个新的应用系统，用于生成由无标记的人体运动捕获驱动的三维（3D）角色动画。系统的整个管道包括五个阶段：1）使用多个摄像机捕获运动数据，2）检测二维（2d）人体关节，3）3D关节的估计，4）计算骨转化矩阵的计算，以及5）角色动画的产生。这项研究的主要目的是使用普通摄像机捕获的多视图图像为3D字符生成3D骨架和动画。基于3D视觉的3D骨架重建的计算复杂性已根据需要降低，以实现逐帧的运动捕获。实验结果表明，我们的系统可以有效，有效地捕获人类的行为，并使用它们实时为3D卡通人物动画。
This paper proposes a novel application system for the generation of three-dimensional (3D) character animation driven by markerless human body motion capturing. The entire pipeline of the system consists of five stages: 1) the capturing of motion data using multiple cameras, 2) detection of the two-dimensional (2D) human body joints, 3) estimation of the 3D joints, 4) calculation of bone transformation matrices, and 5) generation of character animation. The main objective of this study is to generate a 3D skeleton and animation for 3D characters using multi-view images captured by ordinary cameras. The computational complexity of the 3D skeleton reconstruction based on 3D vision has been reduced as needed to achieve frame-by-frame motion capturing. The experimental results reveal that our system can effectively and efficiently capture human actions and use them to animate 3D cartoon characters in real-time.
