OpenCV with Python blueprints

OpenCV with Python blueprints: design and develop advanced computer vision projects using OpenCV with Python

by Beyeler, Michael

Type Book
Rate 0.0 /5

Design and develop advanced computer vision projects using OpenCV with Python About This Book 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 Who This Book Is For This book is for intermediate users of OpenCV who aim to master their skills by developing advanced practical app…

Read More ↓
Details
Files
Reviews
Download

Title Statements

  • Full title :OpenCV with Python blueprints : design and develop advanced computer vision projects using OpenCV with Python / Michael Beyeler.

Summary

Design and develop advanced computer vision projects using OpenCV with Python About This Book 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 Who This Book Is For This book is for intermediate users of OpenCV who aim to master their skills by developing advanced practical applications. Readers are expected to be familiar with OpenCV's concepts and Python libraries. Basic knowledge of Python programming is expected and assumed. 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 In Detail OpenCV is a native cross platform C++ Library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. OpenCV has C++/C, Python, and Java interfaces with support for Windows, Linux, Mac, iOS, and Android. Developers using OpenCV build applications to process visual data; this can include live streaming data from a device like a camera, such as photographs or videos. OpenCV offers extensive libraries with over 500 functions 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 ne...

Read More ↓

Edition Statements

  • Publication Date:2015.

Publication Statements

  • Publisher(s):Packt Publishing
  • Place of Publication:Birmingham, UK
  • Language:eng
  • Publication Date:2015.

Notes

Includes index.

The Physical Object

  • Description:1 online resource : : illustrations

Edition Identifiers

  • ISBN:9781785289866, 1785289861
  • oclc:ocn928751267
  • LC Classification:QA76.73.P98
  • Dewey Decimal:005.133

Table of Contents

Cover ; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Fun with Filters; Planning the app; Creating a black-and-white pencil sketch; Implementing dodging and burning in OpenCV; Pencil sketch transformation; Generating a warming/cooling filter; Color manipulation via curve shifting; Implementing a curve filter by using lookup tables; Designing the warming/cooling effect; Cartoonizing an image; Using a bilateral filter for edge-aware smoothing; Detecting and emphasizing prominent edges.

Combining colors and outlines to produce a cartoonPutting it all together; Running the app; The GUI base class; The GUI constructor; Handling video streams; A basic GUI layout; A custom filter layout; Summary; Chapter 2: Hand Gesture Recognition Using a Kinect Depth Sensor; Planning the app; Setting up the app; Accessing the Kinect 3D sensor; Running the app; The Kinect GUI; Tracking hand gestures in real time; Hand region segmentation; Finding the most prominent depth of the image center region; Applying morphological closing to smoothen the segmentation mask.

Finding connected components in a segmentation maskHand shape analysis…

Read More ↓

Subjects

Application software -- Development Cloud computing Computer vision COMPUTERS -- Computer Vision & Pattern … COMPUTERS -- Programming Languages Infonuagique Logiciels d'application -- Développement Python (Computer program language) Python (Langage de programmation) Vision par ordinateur

Writers

Beyeler, Michael

More from this Series

Rate & Review

0.0/5
(0 people Voted)

No reviews yet. Be the first to rate this work.

Files & Downloads

  • OpenCV with Python Blueprints -- (.epub)

    EPUB · 10.8 MB · updated
    Login →

  • OpenCV with Python Blueprints -- (.pdf)

    PDF · 5.7 MB · updated
    Login →

  • OpenCV with Python blueprints: ǂb design and deve…

    EPUB · 10.8 MB · updated
    Login →

  • OpenCV with Python blueprints: ǂb design and deve…

    AZW3 · 5.2 MB · updated
    Login →

  • OpenCV with Python blueprints: ǂb design and deve…

    PDF · 5.7 MB · updated
    Login →

  • OpenCV with Python Blueprints -- (.pdf)

    PDF · 5.5 MB · updated
    Login →
Log in to request a copy