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Articles on classical computer vision topics; feature extraction, camera calibration, image processing, and OCR applications using Python, C++, and OpenCV.
Classical Computer Vision
Measuring Depth from a Single Camera Using ArUco Markers in OpenCV
→ Article about finding the pose (position + orientation) of an object relative to the camera using ArUco markers in OpenCV. ArUco markers are specifically…
Camera Calibration with OpenCV
→ Step-by-step guide for calibration of any camera with OpenCV in Python Camera calibration can be thought of as a process to obtain a less…
Extracting Chessboard and Piece Positions with OpenCV
OpenCV provides a great number of image processing functions. By using these functions, a lot of information can be extracted from images. The best way…
Text Extraction from Images using OpenCV and Pytesseract
→ Article about extracting text from pages, online documents, and images using OpenCV and Pytesseract in Python. There are different solutions for extracting text from…
Color-Based Object Detection GUI using OpenCV & Tkinter
→ GUI for detecting objects using color information with OpenCV and Tkinter. When you see the title, you might be surprised or think that I…
Adjusting Object Orientation with Perspective Transformations Using OpenCV
→ Aligning images by applying perspective transformation with OpenCV in Python. When dealing with computer vision tasks, most of the time, images are not exactly…
Tracking Moving Objects with Background Subtractors using OpenCV
→ Article about tracking moving objects with background subtractors in OpenCV, implemented in python and c++. Close your eyes and just imagine a normal day…
