In this chapter, we looked at how to make an application intelligent by incorporating machine learning into them. We looked at Support Vector Machines and KNNs, and how we can use them to build applications that can learn patterns in user entered data. Till now we have covered many computer vision algorithms and their implementations in detail. In the next chapter, we will take a look at some commonly faced errors while building such applications, and some best practices that will help you make the applications more efficient.
Mastering OpenCV Android Application Programming
Mastering OpenCV Android Application Programming
Overview of this book
Table of Contents (16 chapters)
Mastering OpenCV Android Application Programming
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Applying Effects to Images
Detecting Basic Features in Images
Detecting Objects
Drilling Deeper into Object Detection – Using Cascade Classifiers
Tracking Objects in Videos
Working with Image Alignment and Stitching
Bringing Your Apps to Life with OpenCV Machine Learning
Troubleshooting and Best Practices
Developing a Document Scanning App
Index
Customer Reviews