#Camera-calibration

Showing 22 of 22 repositories tagged #camera-calibration, ranked by stars

lessthanoptimal

BoofCV

Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.

GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)

📷 RAW image processing for Python, a wrapper for libraw

[CVPR 2025] UniK3D: Universal Camera Monocular 3D Estimation

[INACTIVE LEGACY VERSION, FIND THE PROJECT HERE: https://github.com/gyroflow/gyroflow] Video stabilization using IMU motion data from internal or external logs

advanced_lane_detection

Advanced lane detection using computer vision

computer-vision-guide

:book: This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

[AAAI 2024] UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation. UCMCTrack achieves SOTA on MOT17 using estimated camera parameters.

Create a digital-twin style traffic visualization using only mp4 CCTV footage and its Google Maps location.

An OpenCV-based structured light processing toolkit.

sensor calibration tools for autonomous driving and robotics

Virtual camera is created only using opencv and numpy. It simulates a camera where we can control all its parameters, intrinsic and extrinsic to get a better understanding how each component in the camera projection matrix affects the final image of the object captured by the camera.

Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera

Code and resources for camera calibration using arUco markers and opencv

VGG-Multiple-View-Geometry

A set of MATLAB utilities for multiple view geometry, provided alongside Hartley & Zisserman's "Multiple View Geometry in Computer Vision, Second Edition" (2004). Obtained from http://www.robots.ox.ac.uk/~vgg/hzbook/code/.

This Project is used for automatic dart scoring using computer vision/

Lane identification system for camera based systems.

Lane-and-Vehicles-Detection

This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay.

Score

★ 70 ⑂ 28 —

Jupyter Notebook