Research Article | OPEN ACCESS
A Review Article for Active Appearance Model Fitting Based on Optimization Methods
1Mohammed Hasan Abdulameer, 1Dhurgham A. Mohammed, 2Hassan Farhan Rashag and 3Hasanein D. Rjeib
1Department of Computer Science, Faculty of Education forWomen, University of Kufa
2Foundation of Technical Education
3I.T Reseaqrch and Development Center, University of Kufa, Iraq
Research Journal of Applied Sciences, Engineering and Technology 2016 10:1057-1063
Received: September 17, 2015 | Accepted: November 11, 2015 | Published: May 15, 2016
Abstract
Active Appearance Model (AAM) is one of the most popular techniques that extract features by precise modelling of human faces under various physical and environmental circumstances. In such active appearance model, fitting the model with original image is a challenging task. State of the art shows some of the optimization methods that are applicable to resolve the optimization problem. This encourages us to review the recent improvements of AAM fitting based on optimization methods. This study provides an up-to-date review of researches as regards to AAM optimization; studies are reviewed and discussed in four different sections. This review evidently explores the limitations of the previous works to facilitate better understanding different kind of approaches. The aim of this study is to help as a guide for further studies.
Keywords:
Active appearance model, fitting, face recognition,
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Competing interests
The authors have no competing interests.
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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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