Cloth x-ray: mocap of people wearing textiles

Authors:
Bodo Rosenhahn;Uwe G. Kersting;Katie Powell;Hans-Peter Seidel
Affiliations:
Max Planck Institute for Informatics, Saarbrücken, Germany;Department of Sport and Exercise Science, The University of Auckland, New Zealand;Department of Sport and Exercise Science, The University of Auckland, New Zealand;Max Planck Institute for Informatics, Saarbrücken, Germany
Venue:
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Year:
2006

Citing 9
Cited 3

The synthesis of cloth objects

SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations

Journal of Computational Physics
The visual analysis of human movement: a survey

Computer Vision and Image Understanding
A survey of computer vision-based human motion capture

Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Tracking and modeling people in video sequences

Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
A Mathematical Introduction to Robotic Manipulation

A Mathematical Introduction to Robotic Manipulation
Human Body Model Acquisition and Tracking Using Voxel Data

International Journal of Computer Vision
Twist Based Acquisition and Tracking of Animal and Human Kinematics

International Journal of Computer Vision
A system for marker-less human motion estimation

PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition

Performance capture from sparse multi-view video

ACM SIGGRAPH 2008 papers
Reverse engineering garments

MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Marker-less 3D feature tracking for mesh-based human motion capture

Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation

Quantified Score

Hi-index	0.00

Visualization

Abstract

The contribution presents an approach for motion capturing (MoCap) of dressed people. A cloth draping method is embedded in a silhouette based MoCap system and an error functional is formalized to minimize image errors with respect to silhouettes, pose and kinematic chain parameters, the cloth draping components and external wind forces. We report on various experiments with two types of clothes, namely a skirt and a pair of shorts. Finally we compare the angles of the MoCap system with results from a commercially available marker based tracking system. The experiments show, that we are basically within the error range of marker based tracking systems, though body parts are occluded with cloth.