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Making A Low-Cost Stereo Camera Using OpenCV

January 11, 2021 By Leave a Comment

feature image for stereo camera post

In this post, we will learn how to create a custom low-cost stereo camera (using a pair of webcams ) and capture 3D videos with it using OpenCV. We provide code in Python and C++. We all ...

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Filed Under: 3D Computer Vision, Camera Calibration, Classical Computer Vision, how-to, OAK

Understanding Lens Distortion

October 5, 2020 By Leave a Comment

In a previous post, we went over the geometry of image formation and learned how a point in 3D gets projected on to the image plane of a camera. The model we used was based on the pinhole camera ...

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Filed Under: Camera Calibration, Classical Computer Vision, Image Alignment, Theory

Augmented Reality using ArUco Markers in OpenCV (C++ / Python)

March 21, 2020 By Leave a Comment

Augmented reality with ArUco markers in OpenCV

In this post, we will explain what ArUco markers are and how to use them for simple augmented reality tasks using OpenCV. ArUco markers have been used for a while in augmented reality, camera pose ...

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Filed Under: Application, Camera Calibration, Computer Vision Stories, how-to, Tools, Tutorial

Camera Calibration using OpenCV

February 25, 2020 By Leave a Comment

Camera Calibration Using Opencv

A camera, when used as a visual sensor, is an integral part of several domains like robotics, surveillance, space exploration, social media, industrial automation, and even the entertainment ...

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Filed Under: Camera Calibration, Structure From Motion

Geometry of Image Formation

February 20, 2020 By Leave a Comment

Geometry of Image Formation

In this post, we will explain the image formation from a geometrical point of view. Specifically, we will cover the math behind how a point in 3D gets projected on the image plane. This post ...

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Filed Under: Camera Calibration, Structure From Motion, Theory

GETTING STARTED

  • Installation
  • PyTorch
  • Keras & Tensorflow
  • Resource Guide

COURSES

  • Opencv Courses
  • CV4Faces (Old)

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