| Summary: | 碩士 === 義守大學 === 資訊工程學系碩士班 === 99 === As the motion capture technique has been developed in recent years, the movie industry and game industry has widely used this technique to obtain realistic three-dimensional animation. Toward high-level semantic analysis and understanding, it is an important step to provide a compact feature of motion capture data for information retrieval and motion navigation. The subject of this thesis is to explore how to obtain a small number of keyframes from any human motion capture data. Although some strategies were introduced in the past literature such as curve simplification, curve saliency and frame decimation, most of them adopted the data distortion to measure its effectiveness, but did not take into account the human visual perception. In this study, the angle based curve simplification methods, and the other two strategies were proposed to the absolute coordinates of the position based curve simplification method based on the amount of projection based curve detection methods in order to get the keyframes can represent its content, and In order to verify consistent with human visual experience, the three methods to calculate the precision and the recall and compare their advantages and disadvantages.
|
|---|
