Name
Abstract | ||
|---|---|---|
This paper is concerned with the post-processing of motion-captured data. The post-processing is needed for several reasons: jerky motions due to sensor noise, violation of body constraints such as extraneous joint D.O.Fs, generation of new motion by editing existing motion data, and application of a motion to different character models. In this paper, the process of generating animated motion is viewed as a dynamic system, which takes the captured motion as input. Within a single Kalman filter framework, we were able to handle the following problems effectively: satisfaction of physical constraints inherent to human body, user-specified kinematic constraints, motion transition, and noise reduction. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1007/3-540-49384-0_8 | CAPTECH |
Keywords | Field | DocType |
motion data,new motion,motion-captured data,body constraint,animated motion,motion transition,different character model,human body,kalman filter,noise reduction,human motion,dynamic system | Structure from motion,Noise reduction,Computer vision,Kinematics,Motion field,Computer science,Kalman filter,Artificial intelligence,Motion estimation,Computer animation,Match moving | Conference |
Volume | ISSN | ISBN |
1537 | 0302-9743 | 3-540-65353-8 |
Citations | PageRank | References |
7 | 0.97 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| ChangWhan Sul | 1 | 16 | 1.96 |
| Soonki Jung | 2 | 78 | 7.05 |
| KwangYun Wohn | 3 | 309 | 42.24 |