Chapter 9. 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:
- The difference between object detection and object recognition
- What a dense feature detector is
- What a visual dictionary is
- How to build a feature vector
- What supervised and unsupervised learning are
- What support vector machines are and how to use them to build a classifier
- How to recognize an object in an unknown image
