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Mastering OpenCV 3

You're reading from Mastering OpenCV 3 Get hands-on with practical Computer Vision using OpenCV 3

Product type Paperback

Published in Apr 2017

Publisher

ISBN-13 9781786467171

Length 250 pages

Edition 2nd Edition

Languages

C++

Tools

OpenCV

Concepts

Computer Vision

Authors (6):

Shervin Emami

David Millán Escrivá

Eugene Khvedchenia

Daniel Lelis Baggio

Roy Shilkrot

Jason Saragih

+2 more

View More author details

Table of Contents (7) Chapters

Preface

1. Cartoonifier and Skin Changer for Raspberry Pi FREE CHAPTER

2. Exploring Structure from Motion Using OpenCV

3. Number Plate Recognition using SVM and Neural Network

4. Non-Rigid Face Tracking

5. 3D Head Pose Estimation Using AAM and POSIT

6. Face Recognition Using Eigenfaces or Fisherfaces

Who this book is for

Mastering OpenCV 3, Second Edition is the perfect book for developers with basic OpenCV knowledge to use to create practical computer vision projects, as well as for seasoned OpenCV experts who want to add more computer vision topics to their skill set. It is aimed at senior computer science university students, graduates, researchers, and computer vision experts who wish to solve real problems using the OpenCV C++ interface, through practical step-by-step tutorials.

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Authors (1)

Saragih

Saragih

Jason Saragih received his BEng degree in mechatronics (with honors) and PhD in computer science from the Australian National University, Canberra, Australia, in 2004 and 2008, respectively. From 2008 to 2010, he was a Postdoctoral fellow at the Robotics Institute of Carnegie Mellon University, Pittsburgh, PA. From 2010 to 2012 he worked at the Commonwealth Scientific and Industrial Research Organization (CSIRO) as a Research Scientist. He is currently a Senior Research Scientist at Visual Features, an Australian tech start-up company. Dr. Saragih has made a number of contributions to the field of computer vision, specifically on the topic of deformable model registration and modeling. He is the author of two non-profit open source libraries that are widely used in the scientific community; DeMoLib and FaceTracker, both of which make use of generic computer vision libraries including OpenCV.

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