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OpenCV 4 with Python Blueprints: Build creative computer vision projects with the latest version of OpenCV 4 and Python 3,2nd Edition
by 作者: Dr. Menua Gevorgyan,Arsen Mamikonyan ,Michael Beyeler
pages 页数: 366 pages
Publisher Finelybook 出版社: Packt Publishing (March 20,2020)
Language 语言: English
ISBN-10 书号: 1789801818
ISBN-13 书号: 9781789801811
Book Description
Practical end-to-end projects covering cutting-edge computer vision concepts such as image processing,machine learning,augmented reality,and artificial neural networks
The goal of this book is to get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language,OpenCV 4 and Python 3.8,instead of only covering the core concepts of OpenCV in theoretical lessons.
This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing,object detection,image manipulation,object tracking,and 3D scene reconstruction,in addition to statistical learning and neural networks.
You will begin by 作者: understanding concepts such as image filters,Kinect depth sensor,and feature matching. You will also learn to reconstruct and visualize a scene in 3D and track visually salient objects. Further on,you will learn to recognize traffic signs and emotions on faces. Towards the end of the book,you will understand how to align images and detect and track objects using neural networks.
By the end of this OpenCV Python book,you will have gained hands-on experience and become proficient at developing your own advanced computer vision applications according to specific business needs.
What you will learn
Generate real-time visual effects using 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 to track arbitrary objects of interest
Reconstruct a 3D real-world scene using 2D camera motion and camera reprojection techniques
Detect faces using a cascade classifier and identify emotions in human faces using multilayer perceptrons
Understand how to align images with OpenCV
Contents
Preface
Chapter 1: Fun with Filters
Chapter 2: Hand Gesture Recognition Using a Kinect Depth Sensor
Chapter 3: Finding Objects via Feature Matching and Perspective Transforms
Chapter 4: 3D Scene Reconstruction Using Structure from Motion
Chapter 5: Using Computational Photography with OpenCV
Chapter 6: Tracking Visually Salient Objects
Chapter 7: Learning to Recognize Traffic Signs
Chapter 8: Learning to Recognize Facial Emotions
Chapter 9: Learning to Classify and Localize Objects
Chapter 10: Learning to Detect and Track Objects
Appendix A: Profiling and Accelerating Your Apps
Appendix B: Setting Up a Docker Container
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Index
