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OpenCV 3.x with Python By Example - Second Edition

You're reading from  OpenCV 3.x with Python By Example - Second Edition

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396905
Pages 268 pages
Edition 2nd Edition
Languages
Authors (2):
Gabriel Garrido Calvo Gabriel Garrido Calvo
Profile icon Gabriel Garrido Calvo
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
View More author details
Toc

Table of Contents (17) Chapters close

Title Page
Copyright and Credits
Contributors
Packt Upsell
Preface
1. Applying Geometric Transformations to Images 2. Detecting Edges and Applying Image Filters 3. Cartoonizing an Image 4. Detecting and Tracking Different Body Parts 5. Extracting Features from an Image 6. Seam Carving 7. Detecting Shapes and Segmenting an Image 8. Object Tracking 9. Object Recognition 10. Augmented Reality 11. Machine Learning by an Artificial Neural Network 1. Other Books You May Enjoy

Object detection versus object recognition


Before we proceed, we need to understand what we are going to discuss in this chapter. You must have frequently heard the terms object detection and object recognition, and they are often mistaken to be the same thing. There is a very distinct difference between the two.

Object detection refers to detecting the presence of a particular object in a given scene. We don't know what the object might be. For instance, we discussed face detection in Chapter 4, Detecting and Tracking Different Body Parts. During the discussion, we only detected whether or not a face was present in the given image. We didn't recognize the person! The reason we didn't recognize the person is because we didn't care about that in our discussion. Our goal was to find the location of the face in the given image. Commercial face recognition systems employ both face detection and face recognition to identify a person. First, we need to locate the face, and then run the face recognizer...

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