Chromatic aberration correction software, C/C++

This project is to detect lanes in a video or image and project the results on the output. advanced math and image processing including openCV was used to finish the project.

Image and depth+image rig calibration, image and mesh co-registration, bundle adjustment, large-scale mesh generation, and seamless texturing

Automatic XY Calibration for Aether 3D BioPrinter using Computer Vision

Image distortion functions ported from OpenCV

Identify lane boundaries in a video and display numerical estimation of lane curvature and vehicle position using camera calibration and perspective transform ("birds-eye view").

The Goal of this Project is to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. The camera calibration images, test road images, and project videos are available in the project repository.

This project implements a stereo vision pipeline to generate disparity and depth maps from stereo images, enhancing depth perception for 3D applications. It covers data handling, feature matching, calibration, and disparity computation, serving as an educational and developmental resource in stereo vision technology.

Research project on advanced lane finding algorithm using OpenCV for images and videos