Name
Abstract | ||
|---|---|---|
This paper explores a novel endeavor of deploying only four active-tracking cameras and fundamental vision-based technologies for 3D motion capture of a full human body figure, which includes facial expression, motion of fingers of both hands and a whole body. The proposed methods suggest alternatives to extract motion parameters of the mentioned body parts from four single-view image sequences. The proposed ellipsoidal model- and flow-based facial expression motion capture solution tackles both 3D head pose and non-rigid facial motion effectively and we observe that a set of 22 self-defined feature points suffice the expression representation. The body figure and fingers motion capture is solved with a combination of articulated model and flow-based methods. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-76386-4_40 | ACCV (1) |
Keywords | Field | DocType |
whole body,active multi-camera motion capture,motion parameter,non-rigid facial motion,motion capture,body part,flow-based facial expression motion,capture solution,body figure,fingers motion capture,full human body figure,facial expression,human body | Coordinate system,Structure from motion,Motion capture,Computer vision,Ellipsoid,Computer graphics (images),Computer science,Facial expression,Artificial intelligence,Motion estimation,Facial motion capture,Match moving | Conference |
Volume | ISSN | ISBN |
4843 | 0302-9743 | 3-540-76385-6 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eng Hui Loke | 1 | 0 | 0.34 |
| Masanobu Yamamoto | 2 | 24 | 2.33 |