OpenCV Computer Vision Application Programming Cookbook Second Edition
Over 50 recipes to help you build computer vision applications in C++ using the OpenCV library
Published on 8. July 2025
374 pages
978-1-78216-149-3 (ISBN)
Description
Key Features
Book DescriptionOpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can also be used as a companion book in a university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.What you will learn
Install and create a program using the OpenCV library
Process an image by manipulating its pixels
Analyze an image using histograms
Segment images into homogenous regions and extract meaningful objects
Apply image filters to enhance image content
Exploit image geometry in order to relate different views of a pictured scene
Calibrate the camera from different image observations
Detect faces and people in images using machine learning techniques
Who this book is for
Book DescriptionOpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can also be used as a companion book in a university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.What you will learn
Install and create a program using the OpenCV library
Process an image by manipulating its pixels
Analyze an image using histograms
Segment images into homogenous regions and extract meaningful objects
Apply image filters to enhance image content
Exploit image geometry in order to relate different views of a pictured scene
Calibrate the camera from different image observations
Detect faces and people in images using machine learning techniques
Who this book is for
All prices
More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
5,43 MB
ISBN-13
978-1-78216-149-3 (9781782161493)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Robert Laganiere
OpenCV Computer Vision Application Programming Cookbook
Over 50 recipes to help you build computer vision applications in C++ using the OpenCV library
Book
08/2014
2nd Edition
Packt Publishing
€56.70
Shipment within 3-4 weeks
Person
Laganiere Robert :
Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content based video analysis, visual surveillance, driver-assistance, object detection, and tracking. Robert authored the OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He co-founded Visual Cortek in 2006, an Ottawa-based video analytics start-up that was later acquired by iwatchlife.com in 2009. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of start-up companies such as Cognivue Corp, iWatchlife, and Tempo Analytics. Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees from INRS-Telecommunications, Montreal (1996). You can visit the author's website at laganiere.name.
Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content based video analysis, visual surveillance, driver-assistance, object detection, and tracking. Robert authored the OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He co-founded Visual Cortek in 2006, an Ottawa-based video analytics start-up that was later acquired by iwatchlife.com in 2009. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of start-up companies such as Cognivue Corp, iWatchlife, and Tempo Analytics. Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees from INRS-Telecommunications, Montreal (1996). You can visit the author's website at laganiere.name.
Content
Table of Contents
Playing with Images
Manipulating the Pixels
Processing Images with Classes
Counting the Pixels with Histograms
Transforming images with morphological operations
Filtering the Images
Extracting Lines, Contours and Components
Detecting and Matching Interest Points
Estimating Projective Relations in Images
Processing Video Sequences
Object detection and machine learning
Playing with Images
Manipulating the Pixels
Processing Images with Classes
Counting the Pixels with Histograms
Transforming images with morphological operations
Filtering the Images
Extracting Lines, Contours and Components
Detecting and Matching Interest Points
Estimating Projective Relations in Images
Processing Video Sequences
Object detection and machine learning
