Feature Extraction of Single Face Image Based Active Appearance Model
Available Online May 2016.
- 10.2991/amsm-16.2016.56How to use a DOI?
- single image; active appearance model; face recognition; facial feature extraction
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.
- © 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 - 10.2991/amsm-16.2016.56 ID - Cao2016/05 ER -