Tracking and recognising hand gestures, using statistical shape models-Reference-Cited by-同舟云学术

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Tracking and recognising hand gestures, using statistical shape models

Published:1997-05 Issue:5 Volume:15 Page:345-352
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Ahmad T.,Taylor C.J.,Lanitis A.,Cootes T.F.

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference20 articles.

1. Flexible 3D models from uncalibrated cameras;Cootes,1995

2. Hand gesture modelling, analysis and synthesis;Huang,1995

3. Proc. International Workshop on Face and Gesture Recognition,1995

4. A survey of glove-based input;Sturman;IEEE Computer Graphics and Applications,1994

5. Robust structure from motion using motion parallax;Cipolla,1993

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1. Subject-specific identification of three dimensional foot shape deviations using statistical shape analysis;Expert Systems with Applications;2020-08

2. Dynamic Affine-Invariant Shape-Appearance Handshape Features and Classification in Sign Language Videos;Gesture Recognition;2017

3. Towards Leaning Aware Interaction with Multitouch Tabletops;Proceedings of the 9th Nordic Conference on Human-Computer Interaction;2016-10-23

4. Using motion capture to produce learning software to aid teachers of sign language;The Computer Games Journal;2014-03

5. VISION-BASED APPLICATION-ADAPTIVE HAND GESTURE RECOGNITION SYSTEM;International Journal of Information Acquisition;2013-03

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