In this chapter, we saw how panoramic images are stitched. We took a look at image alignment by finding homography, using RANSAC, and image stitching as a whole. We also saw how it can be implemented in Android using OpenCV. These image alignment techniques can also be used for video stabilization. In the next chapter, we will take a look at how we can make use of machine learning algorithms to automate some of the complex tasks that generally require a human to be present.
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