Feature detection

15 Oct 2016

I built a tiny application to identify features of an object, and attempt to map them to the same object in varying conditions, including differences in scale, distance, orientation, and lighting (shown above). I made heavy use of OpenCV’s Oriented FAST and Rotated Brief (ORB) module. In contrast with non-free algorithms like SIFT and SURF, ORB was susceptible to errors with in-plane rotations (not shown). However, it performed (fast!) and spectacularly with all other variant conditions.

The application was written in Python, and used OpenCV.

The source code is not publicly available, but can be provided upon request.

Me

I'm a software engineer, proud veteran, and even prouder husband and father. I live and work in Silicon Valley, and love to learn about learning, machine learning, and cybersecurity.