DT-CWT applied in spectral histogram space for face detection
Minghui Du · Computer Engineering and Applications Journal · 2007
A novel face detection method based on spectral histogram constructed by Dual Tree-Complex Wavelet Transform (DT-CWT) and Support Vector Machine(SVM) is presented in this paper.Face images can be properly represented according to good directional selectivity on different scales of DT-CWT.Then spectral histograms are constructed by DT-CWT and other filters convolving with original images.Spectral histograms have intrinsic generalization of image representations.An efficient and robust classification function is obtained by training SVM using histograms as input vectors.Experimental results show that DT-CWT out-performed Gabor wavelet transform especially on computational redundancy and speed.And DT-CWT applies in face detection gives the satisfying detection accuracy.