The Technique Of 3-dimensional Human Motion Retargeting

In recent years, the motion capture technique develops at very fast speed, how to use the motion capture data effectively has been a key research point. The motion retargeting technique adapts the motion capture data to a new skeleton model without any distortions, which is very significant to the use of motion capture data. In this paper we do a research on the motion retargeting technique. To keep the characteristic of the source capture data, we present the motion retargeting methods for some different status.Based on parsing the formats of motion capture data, we present a simple motion skeleton model, which makes the research on motion retargeting easier. The main work and novel ideas are described as follows:A motion retargeting method of keeping the characteristic of original trajectories. We analyze the foot distortions which are the most familiar when retargeting motion. Through adapting the leg vectors we present the motion retargeting methods which could keep the original foot trajectories. And keeping the foot trajectories methods include the trajectories scale kept method and the foot steps kept method.A motion retargeting method based on trajectories constraint optimizing method. We present an optimizing method to retarget the upper limbs after analyzing the difference between upper limbs and lower limbs. At the same time we syncretize the above methods to complete the whole body motion retargeting.A technique framework of motion retargeting based on the category of motion data. We research how to classify the motion data by motion retargeting method, and present a framework of motion retargeting based on the motion classification, then we design a motion retargeting system based on the framework and the above methods, and validate the validity of the methods by experiments.