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Based on the B-spline wavelet transform and BP neural network, a method was proposed to extract and recognize the features of transient visual evoked potential in the brain-computer interface system. Based on the analysis of brain frequency domain mapping, this paper carried out a new averaging pre-treatment method to Transient visual evoked potential (TVEP) in order to enhance the signal-noise ratio;...
In this paper, the novel facial expression recognition approach using fusion features of LBP and Gabor (FFLG) is proposed. At first, local binary patterns (LBPs) and Gabor wavelet features are extracted from facial images, and then Weighed LBP Gabor complex features (WLGCF) are obtained by weighing and combining. Finally, the WLGCF as recognition features are generated with LDA algorithm to represent...
Compared with traditional edge detection methods, the method based on wavelet transform is a high precision way. The scale, however, impacts the effect of output imagine. The high frequency could be controlled when the scale is large, and the SNR of the image is relatively great. But the precision of location is lower. On the other hand, the location could be realized precisely when the scale is small,...
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