There are 1 repository under extrinsic-parameters topic.
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
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.
This repository include implementation of calibrating intrinsic and extrinsic camera parameter for distance calculation
Calculate Camera Intrinsic and Extrinsic parameters using Zhang's Algorithm
The EYELib: A matlab-python library for Single View Metrology and auto-calibration algorithms and methods
Implementation of TSAI camera calibration to compute intrinsic and extrinsic of the camera, with visualization of extrinsics.
Camera calibration using Zhang's method.
Landmark detection and localization project using python.
Camera calibration using Zhang's method.
To calibrate any laptop or web camera to determine its intrinsic as well as extrinsic parameters for computer vision applications.
Estimating camera parameters like focal length, distortion coefficients and principal point automatically
Camera intrinsic and extrinsic calibration tools
In this repository, camera calibration is implemented using MATLAB Camera Calibrator APP. It is apart of Assignment2 in Sensing, Perception and Actuation course for ROCV master's program at Innopolis University.