BRIEF Descriptor

This class wraps the functional calls to the opencv contrib modules

A SURF detector using Cuda

Daisy descriptor.

The FREAK (Fast Retina Keypoint) keypoint descriptor: Alahi, R. Ortiz, and P. Vandergheynst. FREAK: Fast Retina Keypoint. In IEEE Conference on Computer Vision and Pattern Recognition, 2012. CVPR 2012 Open Source Award Winner. The algorithm propose a novel keypoint descriptor inspired by the human visual system and more precisely the retina, coined Fast Retina Key- point (FREAK). A cascade of binary strings is computed by efficiently comparing image intensities over a retinal sampling pattern. FREAKs are in general faster to compute with lower memory load and also more robust than SIFT, SURF or BRISK. They are competitive alternatives to existing keypoints in particular for embedded applications.

latch Class for computing the LATCH descriptor. If you find this code useful, please add a reference to the following paper in your work: Gil Levi and Tal Hassner, "LATCH: Learned Arrangements of Three Patch Codes", arXiv preprint arXiv:1501.03719, 15 Jan. 2015 LATCH is a binary descriptor based on learned comparisons of triplets of image patches.

The locally uniform comparison image descriptor: An image descriptor that can be computed very fast, while being about as robust as, for example, SURF or BRIEF.

Wrapped SIFT detector

StarDetector

Class for extracting Speeded Up Robust Features from an image

Normalization type