SURF Feature Extraction and Description Algorithm
Image object detection using SURF (Speeded Up Robust Features) - This algorithm extracts SURF features from both source and target images by employing Hessian matrix for feature point detection. The SURF operator approximates second-order Gaussian filtering using box filters, constructing a Fast-Hessian matrix where the determinant expression is ΔH=Dxx(x)Dyy(x)-(0.9Dxy(x))². It utilizes Haar wavelet responses with Gaussian weighting to determine dominant feature orientations, resulting in a four-dimensional descriptor vector that undergoes normalization.