Title :
Image feature extraction based on phase spectrum
Author :
Lv, Yaoxin ; Zhi, Xianghua ; Xianghua Zhu
Author_Institution :
Sch. of Commun. & Network Technol., Beijing Univ. of Posts & Telecommun., China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
The phase information is important for image feature extraction. The proposed approach can be used to extract the illumination-free image feature based on phase-only reconstruction and phase congruency. We first construct image from unit magnitude spectrum and the original phase spectrum, then we use the Gabor wavelet is to calculate the phase congruency. The experiment results show that this approach can extract the illumination-free image feature effectively. A new approach of face recognition EigenPC is proposed base on the illumination-free feature extraction.
Keywords :
face recognition; feature extraction; image reconstruction; wavelet transforms; Gabor wavelet; face recognition EigenPC; illumination-free image feature extraction; phase congruency; phase information; phase-only reconstruction; unit magnitude spectrum; Cities and towns; Energy measurement; Face recognition; Feature extraction; Frequency domain analysis; Image reconstruction; Lighting; Pattern recognition; Physiology; Visual system;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1441466