EMBEDDED KEY−FRAME EXTRACTION FOR CG ANIMATION BY FRAME DECIMATION (WedPmPO1)

This paper proposes a method for key−frame selec−tion of captured motion data. Motion capture systems have been widely used in CG amusement and human motion analysis such as games and athlete training. For manipulation, retrieval and transmission, the compact motion is often required. Key−framing is often used to express CG animation with a compact set of frames. In general, the animation is described by a set of curves which give the value of the rotation of all joints in each frame. Our method automatically detects the key frames in captured motion data by using frame decimation. We deal with the set of curves as multi−dimensional sequence and find important key frames. Our method has an embedded property, that is, all the frames are ranked by their importance, and thus users can specify any number of key frames from one data. We demonstrate it in experimental section by several typical motions such as walking, kicking, throwing and ballet.