Tag Archives: BRISK

A tutorial on binary descriptors – part 4 – The BRISK descriptor

This fourth post in our series about binary descriptors that will talk about the BRISK descriptor [1]. We had an introduction to patch descriptors, an introduction to binary descriptors and posts about the BRIEF [2] and the ORB [3] descriptors.

We’ll start by showing the following figure that shows an example of using BRISK to match between real world images with viewpoint change. Green lines are valid matches, red circles are detected keypoints.

BRISK descriptor - example of matching points using BRISK

BRISK descriptor – example of matching points using BRISK

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Tutorial on Binary Descriptors – part 1

Why Binary Descriptors?

Following the previous post on descriptors, we’re now familiar with histogram of gradients (HOG) based patch descriptors. SIFT[1], SURF[2] and GLOH[3] have been around since 1999 and been used successfully in various applications, including image alignment, 3D reconstruction and object recognition. On the practicle side, OpenCV includes implementations of SIFT and SURF and Matlab packages are also available (check vlfeat for SIFT and extractFeatures in Matlab computer vision toolbox for SURF).

BRISK descriptor - sampling pairs

BRISK descriptor – sampling pairs

So, if there no question about SIFT and SURF performance, why not use them in every application?

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