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.
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