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Multi-feature fusion for thermal face recognition ...
In this section, we show how to improve thermal face recognition quality by the proposed multi-feature fusion technique. Fig. 1 illustrates our thermal face recognition framework which comprises four important components: feature extraction, local classification, feature weight vector computation, and final residual computation. In the training stage, labeled thermal faces are recognized by ......
A novel approach for multimodal medical image fusion ...
The significant sparse coefficients of CT and MRI images are acquired via multi-scale discrete wavelet transform. A proposed weighted fusion rule is utilized to fuse the high frequency coefficients of the source medical images; while the pulse coupled neural networks (PCNN) fusion rule is exploited to fuse the low frequency coefficients....
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