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Practical Computer Vision

You're reading from  Practical Computer Vision

Product type Book
Published in Feb 2018
Publisher Packt
ISBN-13 9781788297684
Pages 234 pages
Edition 1st Edition
Languages
Author (1):
Abhinav Dadhich Abhinav Dadhich
Profile icon Abhinav Dadhich
Toc

Table of Contents (12) Chapters close

Preface 1. A Fast Introduction to Computer Vision 2. Libraries, Development Platform, and Datasets 3. Image Filtering and Transformations in OpenCV 4. What is a Feature? 5. Convolutional Neural Networks 6. Feature-Based Object Detection 7. Segmentation and Tracking 8. 3D Computer Vision 9. Mathematics for Computer Vision 10. Machine Learning for Computer Vision 11. Other Books You May Enjoy

Introduction to object detection

To begin with object detection, we will first see an overview of image recognition as detection is one part of it. In the following figure, an overview of object recognition is described using an image from Pascal VOC dataset. The input is passes through a model which then produces information in four different styles:

The model in the previous image performs generic image recognition where we can predict the following information:

  • A class name for the object in the image
  • Object center pixel location
  • A bounding box surrounding the object as output
  • In instance image where each pixel is classified into a class. The classes are for object as well as background

When we say object detection, we are usually referring to the first and third type of image recognition. Our goal is to estimate class names as well as bounding box surrounding target objects...

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