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You are here: Home ▶ Limited-Time Offers ▶ Building Computer Vision Projects with OpenCV 4 and C++

Building Computer Vision Projects with OpenCV 4 and C++

October 31, 2020

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

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.

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