Template-Based Eye and Mouth Detection for 3D Video Conferencing-Reference-Cited by-同舟云学术

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Template-Based Eye and Mouth Detection for 3D Video Conferencing

Published:2003 Issue: Volume: Page:23-31
ISSN:0302-9743
Container-title:Visual Content Processing and Representation
language:
Short-container-title:

Author:

Rurainsky Jürgen,Eisert Peter

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-39798-4_6

Reference10 articles.

1. Kampmann, M.: Automatic 3-D Face Model Adaptation for Model-Based Coding of Videophone Sequences. IEEE Transaction on Circuits and Systems for Video Technology 12 (2002)

2. Kampmann, M., Ostermann, J.: Automatic adaptation of a face model in a layered coder with an object-based analysis-synthesis layer and a knowledge-based layer. Signal Processing: Image Communication 9, 201–220 (1997)

3. Feris, R.S., Gemmell, J., Toyama, K., Krueger, V.: Hierarchical wavelet networks for facial feature localization. In: Proceedings of the 5th International Conference on Automatic Face and Gesture Recognition, Washington D.C., USA (2002)

4. Malciu, M., Prêteux, F.: Tracking facial features in video sequences using a de-formable model-based approach. In: Proceedings of the SPIE, vol. 4121, pp. 51–62 (2000)

5. Yuille, A.L.: Deformable Templates for Face Recognition. Journal of Cognitive Neuroscience 3, 59–79 (1991)

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1. 3D Scanning and Head-Mounted Products;Ergonomics in Design: The Quarterly of Human Factors Applications;2022-04-15

2. Geometrical-based lip-reading using template probabilistic multi-dimension dynamic time warping;Journal of Visual Communication and Image Representation;2015-07

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