Camera Calibration and 3D Reconstruction
A Camera Calibration is estimating the parameters of a camera, parameters about the camera are required to determine an accurate relationship between a 3D point in the real world and its corresponding 2D projection (pixel) in the image captured by that calibrated camera. We need to consider both internal parameters like focal length, optical center, and radial distortion coefficients of the lens, etc., and external parameters like rotation and translation of the camera with respect to some real-world coordinate system.
Pose estimation is a computer vision technique that is used to predict the configuration of the body(POSE) from an image. It is used in various applications such as robotics, human-computer interactions, etc.
Often in multiple-view geometry, there are interesting relationships between the multiple cameras, a 3D point, and that point’s projections in each of the camera’s image planes. The geometry that relates the cameras, points in 3D, and the corresponding observations are referred to as the Epipolar geometry of a stereo pair.
A depth map is a picture where every pixel has depth information(rather than RGB) and it is normally represented as a grayscale picture. Depth information means the distance of the surface of scene objects from a viewpoint. The Stereo Images are two images with a slight offset.
Python OpenCV Cheat Sheet
The Python OpenCV Cheat Sheet is your complete guide to mastering computer vision and image processing using Python. It’s designed to be your trusty companion, helping you quickly understand the important ideas, functions, and techniques in the OpenCV library. Whether you’re an experienced developer needing a quick reminder or a newcomer excited to start, this cheat sheet has got you covered.
In this article, we’ve gathered all the vital OpenCV concepts and explained them in simple terms. We’ve also provided practical examples to make things even clearer. You’ll learn everything from how to handle images to using advanced filters, spotting objects, and even exploring facial recognition. It’s all here to help you on your journey of discovering the amazing world of computer vision.
Table of Content
- Python OpenCV Cheat Sheet 2023
- Core Operations
- Drawing Shapes and Text on Images
- Arithmetic Operations on Images
- Morphological Operations on Images
- Geometric Transformations on Image
- Image Thresholding
- Edge/Line Detection (Features)
- Image Pyramids
- Changing the Colorspace of Images
- Smoothing Images
- Working With Videos
- Camera Calibration and 3D Reconstruction