Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling

Feature Extraction of Single Face Image Based Active Appearance Model

Authors
Zhiqiang Cao
Corresponding Author
Zhiqiang Cao
Available Online May 2016.
DOI
https://doi.org/10.2991/amsm-16.2016.56How to use a DOI?
Keywords
single image; active appearance model; face recognition; facial feature extraction
Abstract

Face as the most direct and important carrier of human's daily emotional expression and information exchange, with its peculiar to different from other organs and parts of the universality and ease of use as mathematical modeling of the object of study, and many research algorithm has been applied to the photographing, face recognizing and face rebuilding, etc. Currently, there are face recognizing and face rebuilding two research direction around face, this paper studies the AAM algorithm based on front face feature points extraction, and using MATLAB to achieve programming. Results show that this method can quickly locate face to extract the complete face shape.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-198-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/amsm-16.2016.56How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhiqiang Cao
PY  - 2016/05
DA  - 2016/05
TI  - Feature Extraction of Single Face Image Based Active Appearance Model
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 252
EP  - 255
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.56
DO  - https://doi.org/10.2991/amsm-16.2016.56
ID  - Cao2016/05
ER  -