Paper ID: 2305.00435

Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection

Jie Ren, Wenya Yu, Jiapan Guo, Weichuan Zhang, Changming Sun

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.

Submitted: Apr 30, 2023