Please note that eDoc will be permanently shut down in the first quarter of 2021!      Home News About Us Contact Contributors Disclaimer Privacy Policy Help FAQ

Home
Search
Quick Search
Advanced
Fulltext
Browse
Collections
Persons
My eDoc
Session History
Login
Name:
Password:
Documentation
Help
Support Wiki
Direct access to
document ID:


          Institute: MPI für Informatik     Collection: Computer Graphics Group     Display Documents



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
The scope and number of records on eDoc is subject to the collection policies defined by each institute - see "info" button in the collection browse view.