Age Simulation based on Pseudo Zernike Moment and Multi-Layer Perceptron

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 412

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شناسه ملی سند علمی:

CITCONF03_446

تاریخ نمایه سازی: 12 تیر 1395

چکیده مقاله:

Aging is the process of appearing of major variations on human face such as changes in shape, texture, facial hair and etc. Because of occurring of these variations in specific ranges of age, human age can be estimated automatically according to these variations. A near research studies to automatic age estimation is age simulation where the facial image of individual is simulated for a selected test age value. One of the main challenges of age simulation approaches is feature extraction in which almost all facial feature extractors depend on face geometry and so, changing the facial features over the aging process affects reduces the accuracy of image estimation system. To solve the problem, this paper proposes the utilization of Pseudo Zernike Moment (PZM) as a novel feature extraction method in age simulation system. Since PZM is robust to the shifting, scaling and transformation of object inside the image, it is able to efficiently extract feature vector even in the case of facial variations over the aging process. Also, the proposed method uses the Multi-Layer Perceptron (MLP) as the learning method to simulate the face image of individual in a specific age value. Evaluation results of the proposed method on FG-NET and MORPH datasets proves the superiority of the proposed method to the other similar methods

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نویسندگان

Fatemeh Ghorbani Kotak

Islamic Azad University of Buin Zahra, Faculty of Engineering, Department of Computer Engineering, Buin Zahra, Iran

Abbas Koochari

Islamic Azad University of Buin Zahra, Faculty of Engineering, Department of Computer Engineering, Buin Zahra, Iran

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  • R. Singh, "Recognizing Altered Facial Appearances Due to Aging and ...
  • Facial Expression Analysis, ; Understanding Facial Expressions in C ommunication ...
  • C. Shan, "Learning local binary patterns for gender classification on ...
  • W. Gu, C. Xiang, Y.V. Venkatesh, D. Huang and H. ...
  • A. Lanitis, C.J. Taylor and T.F. Cootes, "Toward automatic simulation ...
  • Y. Shan, Z. Liu and Z. Zhang, "Image-Based Surface Detail ...
  • B. Tiddeman, N. Duffy and G. Rabey, _ general method ...
  • R.M. Gandhi & M.D. Levine, " A Method for Automatic ...
  • 1. Suo, S. C. Zhu, S. Shan & X. Chen, ...
  • G. Mahalingam and C. Kambhamettu, "Age invariant face recognition using ...
  • T. Cootes, G. Edwards, and C. Taylor, _ appearance models, ...
  • Y. Fu and T. S. Huang, "Human age estimation with ...
  • Y. Fu, Y. Xu, and T. S. Huang, "Estimating human ...
  • H. Lakdawala, R. Mastan, J. Patel and E.N Pendhari, "Analysis ...
  • G. Panis, A. Lanitis, N. Tsapatsoulis and T.F. Cootes , ...
  • C. Li, Q. Liu, J. Liu, and H. Lu, "Learning ...
  • H. Dibeklioglu, A.A. Salah and T. Gevers, _ statistical method ...
  • H. Dibeklioglu, F. Alnajar, A. Ali Salah and T. Gevers, ...
  • Z. Li, U. Park and A.K Jain, _ discriminative model ...
  • B. Xiao and G.-y. Wang, "Generic radial orthogonal _ invariants ...
  • S. Haykin, Neural Networks, Macmillan College Publishing Company, 1999. ...
  • FG-NET Aging Database, _ :www. _ _ ...
  • Ricanek _ Tesafaye T., "MORPH: A Longitudinal Image Database of ...