Intelligent wheelchair man-machine interaction method based on double-mixture lip feature extraction
A technology of feature extraction and human-computer interaction, which is applied to computer parts, instruments, character and pattern recognition, etc., and can solve problems such as inapplicable users with upper limb disabilities and limited range of people
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Embodiment 1
[0048] The dual-hybrid lip shape feature extraction method in this embodiment refers to a lip shape feature extraction method that uses a mixture of DT_CWT and DCT. The present invention aims at the lip shape feature extraction link in the field of lip shape recognition technology, and proposes a hybrid dual-tree complex wavelet (Dual-Tree Complex Wavelet Transform, DT_CWT) and discrete cosine transform (Discrete Cosine Transform, DCT) to characterize the lip shape method of extraction.
[0049] Since DT_CWT filtering has approximate translation invariance, after DT_CWT filtering, the difference between the eigenvalues of the same lip shape at different positions in the ROI will be small, and the lip shape recognition error caused by the offset of the lip in the ROI position will be overcome. Influence; then DCT transformation is performed on the lip feature vector extracted by DT_CWT, so that the lip features extracted after DT_CWT transformation are concentrated in the lar...
Embodiment 2
[0088] The difference between this embodiment and embodiment 1 is only:
[0089] In this embodiment, DT_CWT filtering is first performed on the lips. Since DT_CWT has approximately translation invariance, after DT_CWT filtering, the difference between the eigenvalues of the same lip shape at different positions in the ROI will be small, which overcomes the problem of the lips being in the ROI. lip shape recognition error due to position offset; then DCT transform is performed on the lip feature vector extracted by DT_CWT, so that the lip features extracted after DT_CWT transform are concentrated in the larger coefficients after DCT transform, so that the feature vector Contains the largest amount of information in the lips, and at the same time achieves the effect of dimensionality reduction.
[0090] According to the principle of DT_CWT transformation, an image will produce 6 directions at each level after this transformation (θ∈{+15°,+45°,+75°,-75°,-45°,-15°} ), a matrix ...
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