Traditional methods like SIFT/SURF use Gaussian blurring (a linear scale space), which blurs both boundaries and noise equally. This weakens edges. KAZE uses a nonlinear diffusion filter to:- Preserve edges (boundaries)- Suppress noiseThis leads to better keypoint localization, especially around object edges. KAZE constructs a nonlinear scale space using the following equation:\begin{equation}\f..
