DScribe is a python package for creating machine learning descriptors for atomistic systems.

The C++ Implementation of XFeat (Accelerated Features).

MPEG2 transport stream parser for Node.js with support for television broadcast PSIP tables and descriptors

Compute time-to-collision (TTC) using Lidar and Camera sensors. Identify suitable keypoint detector-descriptor combinations for TTC estimation.

binding of pcl for python shot descriptor

A simple command line program aiming to generate relevant descriptors from point cloud data (.PCD files).

My Vulkan 3D API playground (C++ ), based on Sascha Willems's work (/~https://github.com/SaschaWillems/Vulkan).

Master's thesis on object retrieval in point clouds

Feature extraction and tracking of a preceding vehicle. (Udacity project)

2D Feature Tracking project using OpenCV detectors and descriptors for keypoint tracking in multiple frames. The project uses a variety of detectors and descriptors and performs analysis of the best possible combination with regards to processing time and detection precision.

Camera and Lidar based 3D-Object Tracking

Mid-Term project for the Camera class within the Sensor Fusion Nanodegree program from Udacity

Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).

Motif-based aligned RNA searcher

Testing various detector / descriptor combinations to see which ones perform best to be used in a collision detection system. Also 2 different approaches (FLANN vs. Brute-force with the descriptor distance ratio test) for keypoints matching are tested.

Feature tracking using keypoints and descriptors

Tracking the key point feature in preceding vehicle using Computer vision.