Abu-Bakar, S. A. R. and Shahdi, Seyed Omid (2011) Multi-color ulbp with wavelet transform in invariant pose face recognition. In: IEEE International Conference On Signal And Image Processing Applications (ICSIPA 2011).
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Official URL: http://dx.doi.org/10.1109/ICSIPA.2011.6144064
Abstract
Variation in pose is one of the main obstacles confronting researchers in the area of face recognition. In this paper, a novel method is proposed to explicitly tackle this problem. Multi-color uniform local binary pattern (ULBP) is introduced for extracting salient features along with wavelet transform. Learning scheme is adopted to obtain a mapping coefficient vector between face in a pose and frontal face. Then expected frontal face view vector could be generated by inserting the posed face. Instead of using the entire face, some of its important regions are taken into account. The proposed method relies only on single frontal face image as a gallery image. Results have demonstrated that the proposed method operates well even under the low-resolution conditions.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Face, Vectors, Face recognition, Feature extraction, Wavelet transforms, Conferences, wavelet transform, face recognition, pose, patches, multi-color ULBP |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 46047 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 10 Jun 2015 03:01 |
| Last Modified: | 10 Jul 2017 04:44 |
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