Research On Key Technology Of Virtual Reality Human-Scene Synthesis Based On Spacial Multi-Point Information Collection

This dissertation begins with the development of spatial multipoint information collecting technology and its application in virtual reality, researches the problems on keeping coherence between motion tracking and reconstruction in current optical motion capture, including the strategy to improve the coherence and the reconstruction effect, and deeply researches the human-scene interaction synthesis. According to the flow of motion capture, the dissertation improves the tracking quality and reconstruction effect in various aspects, including obtaining posture parameters, judging the validity of motion parameters, modeling and driving virtual human, and the strategy of reasonably keeping the motion coherence in virtual reality environment, and then realizes correlative algorithms.Firstly, the dissertation summarizes the significance of motion capture, describes the various applications of human motion capture data, analyzes various factors which affect the motion tracking quality, discusses some problems which need further study. At the same time, the dissertation introduces the strategy of human-scene synthesis, and gives some virtual human application systems that can utilize motion capture.This dissertation studies on correlative problems about obtaining marker- skeleton model matching the performer, defines human structure fit for motion demand, studies and decides suited number of marker and the position for sticking. Obtaining the joint centre is the key problem of obtaining skeleton model, this dissertation studies on various algorithms for obtaining joint centre, analyzes the virtue and flaw in algorithm precision and complexity degree by experiment. Gives out the strategy of setting the weight of markers, optimizing search course, wiping off abnormal points and improving the sample set. Finally realizes a kind of algorithm for accurate positioning of joint centre. On the above basis, according the actual characteristic of our system, adjusts the local joint coordinate system, constructs Full-Marker-Joint relation model to rapidly locate the joint centre in order to obtain all joint centres in each frame. Then the dissertation analyzes the hypothetic of L.Herda, brings out a mixed strategy utilizing experiential analytic algorithm and global energy minimization, and presents the marker-skeleton model as a result in the end.The dissertation studies on the methods for obtaining posture parameters of human motion, analyzes various existing methods for obtaining posture parameters, including kinematics analytic method, inverse kinematics analytic method, energy function method and dynamic method. And then particularly describes the motion parameters analytic method based on less marker in which skeleton model is needless. In order to avoid the bad...