computer vision

A Face-Mask detection system.

A collection of Computer Vision projects and code samples

Utilities for using MetriCal: Multimodal Calibration for Robotics and Autonomy

Computer Vision laboratory tasks

Implemented the Semi-Global Matching (SGM) algorithm in C++ for computing dense disparity maps from stereo image pairs. Utilized OpenCV for image processing operations. The project involved computing matching costs using Census Transform and Hamming distance, performing cost aggregation along multiple paths, and estimating the final disparity map while incorporating smoothing constraints and confidence thresholding. Evaluated the disparity estimation accuracy by computing the mean squared error against ground truth data.

✭ MAGNETRON ™ ✭: for making an IMAGINATION PROXIA/IMAGINATION PROXIA (A1). Instant neural graphics primitives: lightning fast NeRF (Neural Radiance Fields) and more...

✭ MAGNETRON ™ ✭: OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

This repo contains the code and documentation of the project realized for the Cognitive Robotics course, developed during my Master's Degree course in Computer Engineering.

This repo contains the code and documentation of the project realized for the Artificial Vision course, developed during my Master's Degree course in Computer Engineering.

3D Space Mapping and Computer Vision assistance for the Microsoft Kinect (v1) Possible usages for example: Locating obstacles for drones, Architectural Mapping, Persistent memory of static objects

Stereo Matching algorithm implemented for a miniproject in Advanced Robotic Perception (ARP) course at Aalborg University

AlexeyAB darknet version with improvements with test/demo

A 3D Stereo Vision Camera that tracks an object and displays its distance.

Software for embedded systems which uses Computer Graphics to create in real-time a estimate representation of the Computer Vision obtained by Autonomous Cars.

Logbook of the Project (in Portuguese): https://goo.gl/JFWCDY