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Producing 3D point clouds with a stereo camera in OpenCV

Two point clouds produced with img_pair_2_ply.py

In my last posts, I showed you how to build a stereo camera, calibrate it and tune a block matching algorithm to produce disparity maps. The code is written in Python in order to make it easy to understand and

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Building an interactive GUI with OpenCV

The Stereo BM Tuner GUI showing some pretty bad results. The picture is updated automatically when the parameters are changed.

OpenCV is great for all kinds of computer vision tasks. Many of these can run in a fully automated fashion, where parameters for the CV algorithms are provided by the user before the program begins or can be determined algorithmically

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Calibrating a stereo camera with Python

In my last post I showed how to build a stereo camera and work with it comfortably Python as a cohesive object. Today I’ll show you how to calibrate the stereo pair so that you can rectify pictures taken with

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Building and calibrating a stereo camera with OpenCV (<50€)

The entire setup - the camera rig, plus the printed chessboard taped to another board.

I’ve decided to try my hand at 3D reconstruction using a stereo camera. There are a few good sets of instructions on how to get started with this. I decided to take some heavy inspiration from them and will be

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Using OpenCV with the Raspberry Pi camera

If you’re a Raspberry Pi enthusiast like me, you probably love the Raspberry Pi camera. It delivers pictures in such high quality and speed that it’s practically begging to be used in computer vision contexts. Unfortunately, that’s not as easy

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What’s stackable?

About this blog After starting this blog two weeks ago, I’ve really struggled to find the right way of “theming” it, or just figuring out what it’s all about and what I’m writing about. I’ve always liked writing and, like

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From the archive