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Tag: Computer Vision

CamCal 006 Ideal vs Real Intrinsic Parameters

Highlights: Here, we are going to talk about intrinsic camera calibration. We will present the main difference between ideal and real intrinsic parameters, how to improve them, and how to combine them. Here we will also talk about camera parameters, which will be of great importance for further understanding. Tutorial Overview: Intro Ideal vs Real Intrinsic Parameters Improving Intrinsic Parameters Combining Extrinsic and Intrinsic Calibration Parameters Other Ways Camera Parameters 1. Intro So first, just…
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CamCal 003 Camera Transformation

Highlights: In this post we will talk about camera calibration technique, and rigid body transformations. You will also see how translation and rotation works. Tutorial Overview: Intro Geometric camera calibration Rigid body transformations´╗┐ Notation Rotation 1. Intro In this post, we’re going to talk about extrinsic camera calibration and here is the model that we are going to use. In particular, we had a system where we had a center of projection (COP) that was…
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CamCal 002 Weak Perspective

Highlights: In this post we will talk about how human vision can be tricked with a Perspective Projection model, and we will present one new model, which is called Weak Perspective. Tutorial Overview: Human vision Weak perspective 1. Human vision Humans are very sensitive to this structure of parallel lines and what they convey to us. Probably most of you have seen this Muller-Lyer illusion. Which one of these lines is longer? And you probably…
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OpenCV #010 Detecting Circles

Highlights: In this post we will learn about analysing a given image to find circles detected in that image. Tutorial Overview: Intro Detecting Circles with Hough Hough Transform for Circles Code 1. Intro In the previous post, we saw how we can detect and find lines on images using Hough Transform. Now let’s move to something just a little bit more complicated, circles. Let’s start with the equation of a circle: $$ ( x_{i}-a )^{2}+(…
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OpenCV #009 Detecting Lines

  Highlights: In this post, we will learn how to analyze images and detect basic features: lines! We will describe a well known Hough transform that will help us to do this task. Let’s roll! Tutorial Overview: Line Detection Hough Space Polar Representation for Lines Code for Detecting Lines in Python and C++ 1. Line Detection Human driver on a regular day performs lane detection. This is a crucial task in order to keep the…
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