OpenCV with Python By Example

Chapter 10. Object Recognition

In this chapter, we are going to learn about object recognition and how we can use it to build a visual search engine. We will discuss feature detection, building feature vectors, and using machine learning to build a classifier. We will learn how to use these different blocks to build an object recognition system.

By the end of this chapter, you will know:

• What is the difference between object detection and object recognition
• What is a dense feature detector
• What is a visual dictionary
• How to build a feature vector
• What is supervised and unsupervised learning
• What are Support Vector Machines and how to use them to build a classifier
• How to recognize an object in an unknown image

Object detection versus object recognition ...