DocumentCode
3349569
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
Volume
2
fYear
2004
fDate
31 Aug.-4 Sept. 2004
Firstpage
906
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN
0-7803-8406-7
Type
conf
DOI
10.1109/ICOSP.2004.1441466
Filename
1441466
Link To Document