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Category: Other

CamCal 005 Translation and Rotation

Highlights: In this post we will talk more about the process of going from World to Camera frame, and it is really important that you understand what we were talking in the last few posts. Tutorial Overview: Translation and Rotation Going from World to Camera 1. Translation and Rotation In order to go from World to Camera frame we need to do translation and rotation. So to review, a translation and rotation from frame \(A\)…
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CamCal 008 Stereo Geometry Intro

Highlights: In this post we will learn about stereo geometry and we are doing this for a reason. We are going to talk about point and line duality and how to find the line given two points, or how to find the intersection point given the equation of two lines. Tutorial Overview: This post covers the following topics: Projective Geometry Homogeneous Coordinates 1. Projective Geometry First of all, projective geometry is a fundamental topic for…
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OpenCV #014 Histogram Equalization

Digital Image Processing using OpenCV (Python & C++) Highlights: In this post, we will learn what an image histogram is and why it is useful. We will also learn about how histogram equalization works and to get practical how to implement it from scratch. Let’s roll. What is a Histogram? Histogram Equalization How does it work? Implementation from scratch 1. What is a histogram? When we think of a histogram, we can interpret it as…
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OpenCV #011 Discrete Fourier Transform, Part 1

Digital Image Processing using OpenCV (Python & C++) Highlights: In this post, we will learn about why the Fourier transform is so important. We will also explain some fundamental properties of Fourier transform. Also, we will discuss the advantages of using frequency-domain versus time-domain representations of a signal. Finally, uses cases will be shown where it may be applied. In Mathematics, we often use the Fourier Transform. You take a hard problem, convert it to…
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OpenCV #012 Discrete Fourier Transform, Part 2

Highlights: In the previous post,  we learnt some fundamental details about the Fourier transform and why it’s worth learning. We also showed how to transform an image into its frequency domain. I recommend you read about it here if you haven’t. In this section, we would focus on filtering in the frequency domain. We would see the effects of applying a low and high pass filter. Almost all natural images have similar power spectrum Tutorial…
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