Oriented Filtering Operation for Facial Landmark Extraction
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Prior to face recognition, an oriented filtering operation can be performed to extract facial landmarks. This filtering operation serves as a preprocessing step for facial images to enable more accurate face recognition tasks. By applying directional filters to facial images, key facial landmarks such as eyes, nose, and mouth regions are enhanced and highlighted. The implementation typically involves convolution operations with oriented kernels (like Gabor filters or steerable filters) that respond to specific edge orientations and textures. This preprocessing approach improves the accuracy and reliability of face recognition systems by emphasizing distinctive facial features while reducing noise and illumination variations. Common implementations include using multi-scale filter banks with different orientations to capture facial features at various resolutions and angles.
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