Author: Anders

This paper introduce the idea to use different interest point detectors so that each core can work on its own subset independently of the others. However, since the image pairs are the same, the homography will be essentially the same and can therefore be distributed by the process that first finds a solution. This will … Continue reading Parallel Image Stitching

This paper propose to make the matching directly in the frequency domain and is the predecessor of LPM. It also discuss using the Periodic FFT instead of the FFT as well as a trick to improve the consensus check. Robust and Invariant Phase Based Local Feature Matching. A. Hast. ICPR 2014, Poster with paper. pp. 809-814. 2014. … Continue reading A Phase Based Descriptor

This paper investigates how phase correlation can be used to make a robust feature descriptor. It was later replaced by the LPM as a more efficient descriptor. Nonetheless, it introduces some important things like the fact that many implementations of the log-polar transform is not fit to be used for small images like feature patches … Continue reading Log-Polar sampling and a Phase Correlation descriptor

This paper includes several new things aimed at matching microscopy images with small overlapping areas. However, we now use the same descriptor (FFF) for matching word images. The image below shows an image where two images of a kidney sample from a Mini-TEM microscopy are being matched. Even if the overlap is very small the … Continue reading Fast Fourier Features – and much more!

This is the most simple feature descriptor I can imagine. It just samples and integrates along radial lines as shown in the figure below and the sum is stored as an element in the feature vector. Nonetheless, it works very well! This vector was the base for the RLF descriptor, which also includes sampling using … Continue reading A Radial Line Integration Descriptor