Date of Award
Spring 2012
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Electrical & Computer Engineering
Committee Director
Mohammad A. Karim
Committee Director
Vijayan H. Asari
Committee Member
Jiang Li
Committee Member
Yuzhong Shen
Abstract
Face recognition (FR) has become one of the most successful applications of image analysis and understanding in computer vision. The learning-based model in FR is considered as one of the most favorable problem-solving methods to this issue, which leads to the requirement of large training data sets in order to achieve higher recognition accuracy. However, the availability of only a limited number of face images for training a FR system is always a common problem in practical applications. A new framework to create a face database from a single input image for training purposes is proposed in this dissertation research. The proposed method employs the integration of 3D Morphable Model (3DMM) and Differential Evolution (DE) algorithms. Benefitting from DE's successful performance, 3D face models can be created based on a single 2D image with respect to various illumination and pose contexts. An image deformation technique is also introduced to enhance the quality of synthesized images. The experimental results demonstrate that the proposed method is able to automatically create a virtual 3D face dataset from a single 2D image with high performance. Moreover the new dataset is capable of providing large number of face images equipped with abundant variations. The validation process shows that there is only an insignificant difference between the input image and the 2D face image projected by the 3D model. Research work is progressing to consider a nonlinear manifold learning methodology to embed the synthetically created dataset of an individual so that a test image of the person will be attracted to the respective manifold for accurate recognition.
Rights
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DOI
10.25777/4bec-kq44
ISBN
9781267395931
Recommended Citation
Wang, Qun.
"Creation of Large Scale Face Dataset Using Single Training Image"
(2012). Doctor of Philosophy (PhD), Dissertation, Electrical & Computer Engineering, Old Dominion University, DOI: 10.25777/4bec-kq44
https://digitalcommons.odu.edu/ece_etds/143