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
Download Free PDF / Read Online
Author(s): David Millán Escrivá , Prateek Joshi , Vinícius G. Mendonça, Roy Shilkrot
Publisher: Packt Publishing
Published: March 2019
Format(s): Online
File size: –
Number of pages: 538
Download / View Link(s): This offer has ended.
Free as of 10/31/2020.
Publisher: Packt Publishing
Published: March 2019
Format(s): Online
File size: –
Number of pages: 538
Download / View Link(s): This offer has ended.
Free as of 10/31/2020.