Shahdi, S. O. and Syed Abu Bakar, Syed Abdul Rahman (2011) Frequency domain feature-based face recognition technique for different poses and low-resolution conditions. In: IEEE International Conference on Imaging Systems and Techniques, IST 2011, 17 May 2011 through 18 May 2011, Batu Ferringhi, Penang; Malaysia.
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Official URL: http://dx.doi.org/10.1109/IST.2011.5962222
Abstract
Pose variations are known to give real challenges in face recognition system. In this paper we proposed a method to recognize non-frontal faces with high performance by relying only on single full frontal gallery faces. By utilizing only small regions of the face or patches, we compute the Fourier coefficients of these patches for each image and transform them into a single vector. Hence, instead of comparing and matching pixels values we use these vectors to form a linear relationship which is then used to estimate the frontal face vector and then compare it with the actual frontal feature vector. The results show an average performance accuracy of 90% across all pose.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | local regions (patches), mapping coefficient, varying pose |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 29682 |
| Deposited By: | Yanti Mohd Shah |
| Deposited On: | 21 Mar 2013 08:47 |
| Last Modified: | 30 Oct 2020 05:13 |
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