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Hybrid Correlation Filters for Face Recognition by Edward Conal is a document available to read on EtoBox.
What is Hybrid Correlation Filters for Face Recognition about?
This document introduces novel hybrid correlation filters for multimodal face recognition using infrared and visible spectrum images. The approach uses wavelet-based image fusion to combine infrared and visible face images. The fused images are then used to create Hybrid Minimum Average Correlation Energy (HMACE) and Hybrid Maximum Average Correlation Height (HMACH) filters. These hybrid filters contain information from both spectra, allowing recognition from a single filter. This reduces storage space by 5
- Author
- Edward Conal
- Language
- EN