Category: Computer Vision
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Stereo Vision with two RPi Cameras
Semi-Global Matching is an algorithm that’s commonly used in Stereo Vision and also in Multi-View Stereo (e.g. when doing 3D-Reconstructions). To know more about it I first read Mr Hirschmüller’s paper that introduced SGM. Then I got two Raspberry Pi Camera Modules v3 and hooked them up to a Raspberry Pi 5, calibrated everything and…
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Computer Vision: Image Resolution and Contrast
In this video we talk about image resolution and contrast. We’ll discuss the impact of diffraction, of our lenses and of our sensor. On the way we’ll cover diffraction and MTF charts.
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![Computer Vision: Camera Calibration with OpenCV [Video]](https://mpr-projects.com/wp-content/uploads/2025/04/camera_calibration.jpg)
Computer Vision: Camera Calibration with OpenCV [Video]
This video is about calibrating your camera with OpenCV. We’ll talk about which calibration targets are available, how to get them, how to take good pictures of them, how to run the calibration and how to evaluate it.
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![Computer Vision: The Camera Matrix [Video]](https://mpr-projects.com/wp-content/uploads/2025/04/thumbnail_1-e1745951904695.png)
Computer Vision: The Camera Matrix [Video]
In this video we start with the pinhole camera model and derive the intrinsic and extrinsic camera matrices. On the way we also talk about homogeneous coordinates and rotations.