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2019-07-28 02:00:18
OpenCV.2.Computer.Vision.Application.Programming.Cookbook
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OpenCV
.2.Computer.
Vision
.
Application
.
Programming
.
Cook
book
.pdf
详细介绍
Opencv
2.2 编程指南,英文版,用C++语言,很好的一本入门书
Packt.
OpenCV
.3.Computer.
Vision
.
Application
.
Programming
.
Cook
book
.3rd.Edition.2017
Key Features Written to the latest, gold-standard specification of
OpenCV
3 Master
OpenCV
, the open source library of the computer
vision
community Master fundamental concepts in computer
vision
and image processing Learn about the important classes and functions of
OpenCV
with complete working examples applied to real images
Book
Description Making your
application
s 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
Cook
book
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
application
s. 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
application
s 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. 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 faces and people in images using machine learning techniques About the Author 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, object recognition, and 3D reconstruction. Robert authored
OpenCV
2 Computer
Vision
Application
Programming
Cook
book
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 where he also assumes the role of Chief Scientist. Since 2011, Robert has also been Chief Scientist at Cognivue Corp, a leader in embedded
vision
solutions. Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and M.Sc. and Ph.D. degrees from INRS-Telecommunications, Montreal (1996). Table of Contents Chapter 1. Playing with Images Chapter 2. Manipulating Pixels Chapter 3. Processing the Colors of an Image Chapter 4. Counting the Pixels with Histograms Chapter 5. Transforming Images with Morphological Operations Chapter 6. Filtering the Images Chapter 7. Extracting Lines, Contours, and Components Chapter 8. Detecting Interest Points Chapter 9. Describing and Matching Interest Points Chapter 10. Estimating Projective Relations in Images Chapter 11. Reconstructing 3D Scenes Chapter 12. Processing Video Sequences Chapter 13. Tracking Visual Motion Chapter 14. Learning from Examples Title:
OpenCV
3 Computer
Vision
Application
Programming
Cook
book
, 3rd Edition Author: Robert Laganière Length: 527 pages Edition: 3rd Revised edition Language: English Publisher: Packt Publishing Publication Date: 2017-03-06 ISBN-10: 1786469715 ISBN-13: 9781786469717
基于Csharp+
OpenCV
图像处理实战
同时我们对WPF下对
OpenCV
函数的调用、
OpenCV
.js的调用进行相关教授。 二、课程结构 1、 EmguCV、
OpenCV
Sharp和GOCW之间进行比较(方便代码编写、能够融入最新的算法、速度有保障...
OpenCV
.2.Computer.
Vision
.
Application
.
Programming
.
Cook
book
以及中文源码
OpenCV
.2.Computer.
Vision
.
Application
.
Programming
.
Cook
book
英文原版书籍 以及 配套中文源码(中文源码地址https://github.com/vinjn/
opencv
-2-
cook
book
-src)
Packt.
OpenCV
.2.Computer.
Vision
.
Application
.
Programming
.
Cook
book
Packt.
OpenCV
.2.Computer.
Vision
.
Application
.
Programming
.
Cook
book
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