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Mastering OpenCV 3 - Second Edition

You're reading from Mastering OpenCV 3 - Second Edition

Product type Book

Published in Apr 2017

Publisher

ISBN-13 9781786467171

Pages 250 pages

Edition 2nd Edition

Languages

Concepts

Computer Vision

Author (1):

Jason Saragih

Table of Contents (7) Chapters

Preface

1. Cartoonifier and Skin Changer for Raspberry Pi

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

Utilities

Before diving into the intricacies of face tracking, a number of book-keeping tasks and conventions common to all face-tracking methods must first be introduced. The rest of this section will deal with these issues. An interested reader may want to skip this section at the first reading and go straight to the section on geometrical constraints.

Object-oriented design

As with face detection and recognition, programmatically, face tracking consists of two components: data and algorithms. The algorithms typically perform some kind of operation on the incoming (that is, online) data by referencing prestored (that is, offline) data as a guide. As such, an object-oriented design that couples algorithms with the data they rely on is a convenient design choice...

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Authors (1)

Jason 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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