Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection

04/30/2023

∙

by   Jie Ren, et al.

∙

0

∙

share

Interest point detection methods have received increasing attention and are widely used in computer vision tasks such as image retrieval and 3D reconstruction. In this work, second-order anisotropic Gaussian directional derivative filters with multiple scales are used to smooth the input image and a novel blob detection method is proposed. Extensive experiments demonstrate the superiority of our proposed method over state-of-the-art benchmarks in terms of detection performance and robustness to affine transformations.