An End-to-End Learning Approach for Subpixel Feature Extraction

Abstract

We propose a feature extraction method based on Fourier image encoding and a multiscale convolutional neural network, training end-to-end. Our experiments show the method can localize subpixel feature locations from density fields to subpixel accuracy.