1786469715
OpenCV 3 Computer Vision Application Programming Cookbook Third Edition
by: Robert Laganiere
ISBN-10: 1786469715
ISBN-13: 9781786469717
Edition 版本: 3rd Revised edition
Released: 2017-03-06
Pages: 527
Book Description
Making your applications see has never been easier with OpenCV. With it,you can teach your robot how to follow your cat,write a program to correctly identify the members of One Direction,or even help you find the right colors for your redecoration.
OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications.
This book helps you to get started with the library,and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines,circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering.
The most recent methods for image matching and object recognition are described,and you’ll discover how to process video from files or cameras,as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally,you’ll also get acquainted with recent approaches in machine learning and object classification.
Contents
1: PLAYING WITH IMAGES
2: MANIPULATING PIXELS
3: PROCESSING THE COLORS OF AN IMAGE
4: COUNTING THE PIXELS WITH HISTOGRAMS
5: TRANSFORMING IMAGES WITH MORPHOLOGICAL OPERATIONS
6: FILTERING THE IMAGES
7: EXTRACTING LINES,CONTOURS,AND COMPONENTS
8: DETECTING INTEREST POINTS
9: DESCRIBING AND MATCHING INTEREST POINTS
10: ESTIMATING PROJECTIVE RELATIONS IN IMAGES
11: RECONSTRUCTING 3D SCENES
12: PROCESSING VIDEO SEQUENCES
13: TRACKING VISUAL MOTION
14: LEARNING FROM EXAMPLES
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 the image geometry in order to relay different views of a pictured scene
Calibrate the camera from different image observations
Detect people and objects in images using machine learning techniques
Reconstruct a 3D scene from images
Authors
Robert Laganiere
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 startup that was later acquired by http://iwatchlife.com/ in 2009. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of startups 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). Visit the author’s website at http://www.laganiere.name/.
