研究了虚拟人的行走模型和基于逆运动学的运动控制方法。
Basic locomotion models of walking for virtual humans and their inverse kinematics-based control methods are studied in this paper.
本文提出了一种基于神经网络改进算法的机器人逆运动学的求解方法。
A new method of solving inverse kinematics of robots based on improvement of neural networks is presented in this paper.
动画也必须学习如何运用逆运动学（翼）设置为他们的个性钻机减少所花费的时间取景用下列各项。
Animators must also learn how to use inverse kinematic (IK) setups for their character rigs to reduce the amount of time spent keyframing.
应用推荐