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Category: Other

CamCal 007 Camera Calibration

Digital Image Processing using OpenCV (Python & C++) Highlights: In this post, we will explain the main idea behind Camera Calibration. We will do this by going through code, which will be explained in details. Tutorial Overview: Setup Finding Corners Calibration Undistortion Intro In a last few posts, we have talked about modeling a projection, perspective projection, camera translation and rotation and all of this stuff will be of a great importance for you in…
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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 005 Translation and Rotation

Highlights: In this post we will talk more about process of going from World to Camera frame, and it is really important that you understand what we were talking in a 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 \(A\) to…
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#OD1 YOLO Object Detection

YOU ONLY LOOK ONCE Highlights: In this post we will learn about YOLO Object Detection system, and how to implement such system with Keras. About Yolo: Our unified architecture is extremely fast. Our base YOLO model processes imagesin real-time at 45 frames per second. A smaller version of the network, Fast YOLO,processes an astounding 155 frames per second … — You Only Look Once: Unified, Real-Time Object Detection, 2015 Tutorial Overview: This post covers the…
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CamCal 004 What does R look like?

Highlights: In this post we will continue working on camera calibration, and we will take a detailed look how does \(R \) looks like. If you don’t remember what is \(R \), that is a rotation operator. Tutorial Overview: Intro Example: Rotation About Z Axis Rotation in Homogeneous Coordinates Rigid Transformation 1. Intro There are two ways to think about this rotation operator. First, we will think in a hard way. \(_{A}^{B}\textrm{R} \) expresses how…
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