This paper investigates the use of the spinor tensor as the base for a key point detector, very much like the structure tensor and the Hessian is used for the same purpose. It is shown that the determinant of the Spinor tensor can be approximated by the square of the determinant of Hessian. This is … Continue reading The Spinor Tensor
The Extended Structure Tensor with a Scale Space Parameter
This paper extends the Harris corner detector by investigating the scale space dimension, i.e. the trace of the Hessian matrix. The point found will be close to the one of the Harris corner detector, but still different. There seem to be situations when this detector is more robust than the Harris, but the computational cost … Continue reading The Extended Structure Tensor with a Scale Space Parameter
Parallel Image Stitching
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
A Phase Based Descriptor
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
Log-Polar sampling and a Phase Correlation 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
