OpenCV with Python by example : build real-world computer vision applications and develop cool demos using OpenCV for Python /

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Bibliographic Details
Author / Creator:Joshi, Prateek, author.
Imprint:Birmingham : Packt Publishing, 2015.
Description:1 online resource : illustrations
Language:English
Series:Community experience distilled
Community experience distilled.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11908503
Hidden Bibliographic Details
ISBN:9781785289873
178528987X
9781785283932
1785283936
Notes:Includes index.
Online resource; title from PDF title page (EBSCO, viewed April 19, 2016).
Summary:Build real-world computer vision applications and develop cool demos using OpenCV for Python About This Book Learn how to apply complex visual effects to images using geometric transformations and image filters Extract features from an image and use them to develop advanced applications Build algorithms to help you understand the image content and perform visual searches Who This Book Is For This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on. What You Will Learn Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Detect and track various body parts such as the face, nose, eyes, ears, and mouth Stitch multiple images of a scene together to create a panoramic image Make an object disappear from an image Identify different shapes, segment an image, and track an object in a live video Recognize an object in an image and build a visual search engine Reconstruct a 3D map from images Build an augmented reality application In Detail Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications. This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples. The book is a prac...
Other form:Print version: Joshi, Prateek. OpenCV with Python by example. Birmingham : Packt Publishing, 2015 1785283936 9781785283932

MARC

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505 0 |a Applying geometric transformations to images -- Detecting edges and applying image filters -- Cartoonizing an image -- Detecting and tracking different body parts -- Extracting features from an image -- Creating a panoramic image -- Seam carving -- Detecting shapes and segmenting an image -- Object tracking -- Object recognition -- Stereo vision and 3D reconstruction -- Augmented reality. 
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