Study On Interactive Character Motion Generation And Control Algorithms

With the increasing requirements of character animation in sport training, military training, engineering testing, computer games and movies, the generated character motions are not only required to be highly realistic, but the characters are also expected to intelligently interact with the environment. Generating realistic and interactive virtual character motion is the main research content of this dissertation, which focuses on the hybrid driven approach of the character motion, the balance keeping and protective actions, the user-controlled virtual character and the goal-oriented character motion synthesis. In this dissertation, we put forward the corresponding algorithms and their implementations, which including:We present a hybrid control algorithm which combines the motion capture data and the dynamic simulation techniques together. We employ a parallel algorithm of two processes, as well as training an artificial neural network by a set of recovery motion capture data sequences, and predicting and pre-classifying the recovery motion database according to the recovery motion strategy of the characters, so reducing the size of the search region. The experimental results indicate that our characters can be controlled and switched between motion capture and dynamic simulation control modes naturally.We present a character balance keeping and protective motion generation algorithm in locomotion. The algorithm can detect the balance of the character in locomotion and drives him to take several active and protective responses when he falls to the ground. The experimental results indicate that our balance keeping and protective motion controller is suitable for interactive games or other real-time applications.We present a motion fragment based interactive character motion generation algorithm. We employ a SVM to add the prediction of the user's future inputs in the control process, then selecting a motion fragment, and finally creating a motion stream from several short motion fragments to generate interactive motion. The experimental results indicate that our control method achieves higher visual quality and lower space-time costs in the control policy synthesis than the previous methods.We present a goal-oriented character motion fragment optimization search and control algorithm. The user provides information of the final character motion, and the system sets the obstacles of the scene automatically. Based on a motion capture database with appropriate size, our algorithm is able to continually search out the motion fragments, so that the final motion has high visual effect, as well as meeting the user's requirements as much as possible. The experimental results indicate that the algorithm is suitable for user-specified gymnastics animation synthesis.