Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ /

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Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in comput...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Shilkrot, Roy (Author), Millán Escrivá, David (Author)
Format: Electronic eBook
Language:Inglés
Published: Birmingham, UK : Packt Publishing, 2018.
Edition:Third edition.
Subjects:
Computer vision.
Web applications.
C++ (Computer program language)
Application software > Development.
Vision par ordinateur.
Applications Web.
C++ (Langage de programmation)
Logiciels d'application > Développement.
COMPUTERS > General.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++
  • Contributors
  • Table of Contents
  • Preface
  • Chapter 1: Cartoonifier and Skin Color Analysis on the RaspberryPi
  • Chapter 2: Explore Structure from Motion with the SfM Module
  • Chapter 3: Face Landmark and Pose with the Face Module
  • Chapter 4: Number Plate Recognition with Deep Convolutional Networks
  • Chapter 5: Face Detection and Recognition with the DNN Module
  • Chapter 6: Introduction to Web Computer Vision with OpenCV.js
  • Chapter 7: Android Camera Calibration and AR Using the ArUco Module
  • Chapter 8: iOS Panoramas with the Stitching Module
  • Chapter 9: Finding the Best OpenCV Algorithm for the Job
  • Chapter 10: Avoiding Common Pitfalls in OpenCV
  • Other Books You May Enjoy
  • Index.

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