A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.

Robust Local Optical Flow (RLOF)

Python scripts for performing 2D feature detection and tracking using the KP2D model in Pytorch

Optical Flow and Deep Learning Use Cases

Using OpenCV and ARToolkit to perform Natural Feature Tracking(NFT)

A marklerless augmented reality platform for Android powered by OpenCV.

ICEpy4D is a multi-purpose Python package for 4D Image-based Continuos monitoring of glaciers' Evolution with deep learning SfM and low-cost stereo-cameras

A ROI-mask Feature Tracker for Monocular Visual-Inertial System

Camera trajectory estimation using feature-based Visual Odometry from a monocular camera.

Vortex finder for time-dependent Ginzburg-Landau superconductor simulation data

A combined approach for tracking anatomical landmarks in liver during respiratory motion (course project, ETH Zurich, Spring 2019)

A librealsense fork where the multicam example application estimates the pose between the cameras

MACAW (Mobile Augmented Campus Assistant for Wayfinding)

Repository for the "Vision Algorithms for Mobile Robotics" (VAMR) lecture at the "Robotics and Perception Group" at UZH (for ETH Zurich).

Image Classification, Object Detection, Image Segmentation, Instance Segmentation and Pose Estimation

Fast-bag-of-words ROS wrapper for feature-based place detection and relocalization.

Python code to stabalize a video using motion compensation.

A merge tree library

Feature Tracking In Preprocessor-Based Forks

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.