| ID:
231313.0,
MPI für Informatik / Computer Graphics Group |
| M3 : Marker-free Model Reconstruction and Motion Tracking from 3D Voxel Data |
| Authors: | de Aguiar, Edilson; Theobalt, Christian; Magnor, Marcus; Theisel, Holger; Seidel, Hans-Peter |
| Editors: | Cohen-Or, Daniel; Ko, Hyeong-Seok; Terzopoulos, Demetri; Warren, Joe |
| Language: | English |
| Publisher: | IEEE |
| Place of Publication: | Los Alamitos, USA |
| Date of Publication (YYYY-MM-DD): | 2004 |
| Title of Proceedings: | 12th Pacific Conference on Computer Graphics and Applications, PG 2004 |
| Start Page: | 101 |
| End Page: | 110 |
| Place of Conference/Meeting: | Seoul, Korea |
(Start) Date of Conference/Meeting
(YYYY-MM-DD): | 2004-10-06 |
| Audience: | Experts Only |
| Intended Educational Use: | No |
| Abstract / Description: | In computer animation, human motion capture from video is a widely used
technique to acquire motion parameters.
The acquisition process typically
requires an intrusion into the scene in the form of optical
markers which are used to estimate the parameters of motion
as well as the kinematic structure of the performer. Marker-free
optical motion capture approaches exist, but due to their
dependence on a specific type of a priori model they can hardly be used
to track other subjects, e.g. animals. To bridge the gap between
the generality of marker-based methods and the applicability of marker-free
methods
we present a flexible non-intrusive approach that estimates both, a kinematic
model
and its parameters of motion from a sequence of voxel-volumes.
The volume sequences are reconstructed from multi-view video data by means of a
shape-from-silhouette technique.
The described method is well-suited for but not limited to motion capture of
human subjects. |
| Last Change of the Resource (YYYY-MM-DD): | 2005-04-27 |
| External Publication Status: | published |
| Document Type: | Conference-Paper |
| Communicated by: | Hans-Peter Seidel |
| Affiliations: | MPI für Informatik/Computer Graphics Group
|
| Identifiers: | LOCALID:C125675300671F7B-BCFD23278E4E17CAC1256ED7004A91A4-...
ISBN:0-7695-2234-3 |
|
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