전자공학회논문지C (Journal of the Korean Institute of Telematics and Electronics C)
- 제35C권8호
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- Pages.60-67
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- 1998
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- 1226-5853(pISSN)
고유특징을 이용한 얼굴인식에 있어서 얼굴영상에 대한 분수차 Fourier 변환의 효과
Effects of fractional fourier transform of facial images in face recognition using eigenfeatures
초록
We studied the effects of fractional fourier transform in face recognition, in which only the amplitude spectra of transformed facial images were used.We used two recently developed face recognition methods, the most effective feature (MEF) method (i.e., eigenface method) and most discriminating feature (MDF) method, and the effects of th etransform for th etwo methods were consistent. We confirmed that the recognition rate by the use of MDF method is better than that consistent. We confirmed that the recognition rate by the use of MDF method is better than that by MEF regardless of the order to transform, these methods provided slightly better results when the order was 1 than for any other order values. Only when the order was close to 1, the recognition rates were robust to the shift of the input images, and the trend that the recognition rates decreased as the input size varied was independent of the order. From these results, we fond that it is most advantageous to use the amplitude spectra of the conventional fourier transform whose order is 1.
키워드