3D Model Based Gesture Acquisition Using a Single Camera

Authors:
Patrick Horain;Mayank Bomb
Affiliations:
-;-
Venue:
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Year:
2002

Citing 0
Cited 4

Multimodal Human Machine Interactions in Virtual and Augmented Reality

Multimodal Signals: Cognitive and Algorithmic Issues
Region-Based vs. Edge-Based Registration for 3D Motion Capture by Real Time Monoscopic Vision

MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Real time body pose tracking in an immersive training environment

HCI'07 Proceedings of the 2007 IEEE international conference on Human-computer interaction
Human sign recognition for robot manipulation

MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a method for 3D human motion captureusing a single camera, without markers and without apriori knowledge on gestures. It is based on registering a3D articulated model on color images with respect tobiomechanical constraints. Gestures regularization isdiscussed as a way to cope with projection ambiguities.Computation is reduced by registering only the movingparts of the body.