OpenCV with Python Blueprints: Design and Develop Advanced Computer Vision Projects Using Opencv With Python
ISBN-13:
9781785282690
ISBN-10:
1785282697
Author:
Michael Beyeler
Publication date:
2015
Publisher:
Packt Pub Ltd
Format:
Paperback
206 pages
Category:
AI & Machine Learning
,
Computer Science
FREE US shipping
Book details
ISBN-13:
9781785282690
ISBN-10:
1785282697
Author:
Michael Beyeler
Publication date:
2015
Publisher:
Packt Pub Ltd
Format:
Paperback
206 pages
Category:
AI & Machine Learning
,
Computer Science
Summary
OpenCV with Python Blueprints: Design and Develop Advanced Computer Vision Projects Using Opencv With Python (ISBN-13: 9781785282690 and ISBN-10: 1785282697), written by authors
Michael Beyeler, was published by Packt Pub Ltd in 2015.
With an overall rating of 4.4 stars, it's a notable title among other
AI & Machine Learning
(Computer Science) books. You can easily purchase or rent OpenCV with Python Blueprints: Design and Develop Advanced Computer Vision Projects Using Opencv With Python (Paperback) from BooksRun,
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Description
Design and develop advanced computer vision projects using OpenCV with PythonAbout This Book
What You Will Learn
This book demonstrates how to develop a series of intermediate to advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. Instead, the working projects developed in this book teach the reader how to apply their theoretical knowledge to topics such as image manipulation, augmented reality, object tracking, 3D scene reconstruction, statistical learning, and object categorization.
By the end of this book, readers will be OpenCV experts whose newly gained experience allows them to develop their own advanced computer vision applications.
All source code is available on GitHub: github.com/mbeyeler/opencv-python-blueprints.Style and approachThis book covers independent hands-on projects that teach important computer vision concepts like image processing and machine learning for OpenCV with multiple examples.
- Program advanced computer vision applications in Python using different features of the OpenCV library
- Practical end-to-end project covering an important computer vision problem
- All projects in the book include a step-by-step guide to create computer vision applications
What You Will Learn
- Generate real-time visual effects using different filters and image manipulation techniques such as dodging and burning
- Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor
- Learn feature extraction and feature matching for tracking arbitrary objects of interest
- Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques
- Track visually salient objects by searching for and focusing on important regions of an image
- Detect faces using a cascade classifier and recognize emotional expressions in human faces using multi-layer peceptrons (MLPs)
- Recognize street signs using a multi-class adaptation of support vector machines (SVMs)
- Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features
This book demonstrates how to develop a series of intermediate to advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. Instead, the working projects developed in this book teach the reader how to apply their theoretical knowledge to topics such as image manipulation, augmented reality, object tracking, 3D scene reconstruction, statistical learning, and object categorization.
By the end of this book, readers will be OpenCV experts whose newly gained experience allows them to develop their own advanced computer vision applications.
All source code is available on GitHub: github.com/mbeyeler/opencv-python-blueprints.Style and approachThis book covers independent hands-on projects that teach important computer vision concepts like image processing and machine learning for OpenCV with multiple examples.
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