Efficient Face Recognition Technique with Aid of Active Appearance Model

2013 ◽  
pp. 101-110
Author(s):  
Mohammed Hasan ◽  
Siti Norul Huda Sheikh Abdullaha ◽  
Zulaiha Ali Othman
Keyword(s):  
Face Recognition ◽  
Appearance Model ◽  
Active Appearance Model ◽  
Active Appearance ◽  
Recognition Technique

scholarly journals A Modified Active Appearance Model Based on an Adaptive Artificial Bee Colony

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Mohammed Hasan Abdulameer ◽  
Siti Norul Huda Sheikh Abdullah ◽  
Zulaiha Ali Othman
Keyword(s):  
Face Recognition ◽  
Model Fitting ◽  
Optimization Method ◽  
Appearance Model ◽  
Active Appearance Model ◽  
Abc Algorithm ◽  
Model Based ◽  
Bee Colony ◽  
Active Appearance ◽  
Recognition Technique

Active appearance model (AAM) is one of the most popular model-based approaches that have been extensively used to extract features by highly accurate modeling of human faces under various physical and environmental circumstances. However, in such active appearance model, fitting the model with original image is a challenging task. State of the art shows that optimization method is applicable to resolve this problem. However, another common problem is applying optimization. Hence, in this paper we propose an AAM based face recognition technique, which is capable of resolving the fitting problem of AAM by introducing a new adaptive ABC algorithm. The adaptation increases the efficiency of fitting as against the conventional ABC algorithm. We have used three datasets: CASIA dataset, property 2.5D face dataset, and UBIRIS v1 images dataset in our experiments. The results have revealed that the proposed face recognition technique has performed effectively, in terms of accuracy of face recognition.

Face Recognition with Active Appearance Model (AAM)

2013 ◽  
pp. 1124-1144 ◽  
Author(s):  
Patrycia Barros de Lima Klavdianos ◽  
Lourdes Mattos Brasil ◽  
Jairo Simão Santana Melo
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Face Recognition ◽  
Face Processing ◽  
Research Field ◽  
Appearance Model ◽  
Active Appearance Model ◽  
Human Face ◽  
Active Appearance ◽  
Human Faces

Recognition of human faces has been a fascinating subject in research field for many years. It is considered a multidisciplinary field because it includes understanding different domains such as psychology, neuroscience, computer vision, artificial intelligence, mathematics, and many others. Human face perception is intriguing and draws our attention because we accomplish the task so well that we hope to one day witness a machine performing the same task in a similar or better way. This chapter aims to provide a systematic and practical approach regarding to one of the most current techniques applied on face recognition, known as AAM (Active Appearance Model). AAM method is addressed considering 2D face processing only. This chapter doesn’t cover the entire theme, but offers to the reader the necessary tools to construct a consistent and productive pathway toward this involving subject.

scholarly journals Model-Based Active Appearance Model Approach For Face Recognition

2019 ◽  
Vol 14 (9) ◽  
pp. 2988-2992
Author(s):  
Eman A. Gheni ◽  
Zahraa M. Ali ◽  
Dalia N. Abul-Wadood
Keyword(s):  
Face Recognition ◽  
Appearance Model ◽  
Active Appearance Model ◽  
Model Based ◽  
Active Appearance ◽  
Model Approach

Face Recognition with Active Appearance Model (AAM)

2013 ◽  
pp. 1-22
Author(s):  
Patrycia Barros de Lima Klavdianos ◽  
Lourdes Mattos Brasil ◽  
Jairo Simão Santana Melo
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Face Recognition ◽  
Face Processing ◽  
Research Field ◽  
Appearance Model ◽  
Active Appearance Model ◽  
Human Face ◽  
Active Appearance ◽  
Human Faces

Recognition of human faces has been a fascinating subject in research field for many years. It is considered a multidisciplinary field because it includes understanding different domains such as psychology, neuroscience, computer vision, artificial intelligence, mathematics, and many others. Human face perception is intriguing and draws our attention because we accomplish the task so well that we hope to one day witness a machine performing the same task in a similar or better way. This chapter aims to provide a systematic and practical approach regarding to one of the most current techniques applied on face recognition, known as AAM (Active Appearance Model). AAM method is addressed considering 2D face processing only. This chapter doesn’t cover the entire theme, but offers to the reader the necessary tools to construct a consistent and productive pathway toward this involving subject.

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