Building Computer Vision Projects with OpenCV 4 and C++

Whether you’re completely new to computer vision or already have basic knowledge of its concepts, this Building Computer Vision Projects with OpenCV 4 and C++ is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. (Limited-time offer)

Table of Contents

• Getting Started with OpenCV
• An Introduction to the Basics of OpenCV
• Learning Graphical User Interfaces
• Delving into Histogram and Filters
• Automated Optical Inspection, Object Segmentation, and Detection
• Learning Object Classification
• Detecting Face Parts and Overlaying Masks
• Video Surveillance, Background Modeling, and Morphological Operations
• Learning Object Tracking
• Developing Segmentation Algorithms for Text Recognition
• Text Recognition with Tesseract
• Deep Learning with OpenCV
• Cartoonifier and Skin Color Analysis on the RaspberryPi
• Explore Structure from Motion with the SfM Module
• Face Landmark and Pose with the Face Module
• Number Plate Recognition with Deep Convolutional Networks
• Face Detection and Recognition with the DNN Module
• Android Camera Calibration and AR Using the ArUco Module
• iOS Panoramas with the Stitching Module
• Finding the Best OpenCV Algorithm for the Job
• Avoiding Common Pitfalls in OpenCV

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