Computer Vision

Opencv: Computer Vision Projects with Python

About This Book

• Use OpenCV’s Python bindings to capture video, manipulate images, and track objects
• Learn about the different functions of OpenCV and their actual implementations.
• Develop a series of intermediate to advanced projects using OpenCV and Python

Who This Book Is For

This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV’s application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV.

What You Will Learn

• Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect – all on Windows, Mac or Ubuntu

• Apply “curves” and other color transformations to simulate the look of old photos, movies, or video games

• Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image

• Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor

• Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques

• Detect and recognize street signs using a cascade classifier and support vector machines (SVMs)

• Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs

• Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features

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