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Multiple cameras calibration and fusion with OpenCV Python.

Project description

camera_fusion

Multiple cameras correction calibration and fusion with OpenCV Python. This package use ChAruco board to achieve accurate multi-cameras fusion.

Installation

pip install camera_fusion

Depending of your environment, you could have to compile OpenCV from source with Python bindings.

Quickstart

Calibration

Print a ChAruco board, for example the one in the ./resources folder.

Measure the length of the length of the Aruco marker and the length of the black square and start example scripts from the ./scripts folder.

Usage examples

Generate the lens correction calibration file for a specific camera.

python3 ./scripts/camera_calibration.py

Generate homographies between many camera to fuse/blend on a specific plane. If no lens correction calibration exist for the cameras, they will be generate.

python3 ./scripts/camera_calibration.py

Actually, simple blending method are implemented:

  • Blue channel to RGB blending
  • Gray scale to RGB blending
  • Weighted blending
  • Difference

Use cases

This project was made to create a super low-cost degree of linear polarization imager. With three cheap repurposed webcams, we achieve decent results and frame-rate.

Project details


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