Book Image

iOS Application Development with OpenCV 3

By : Joseph Howse
4 (1)
Book Image

iOS Application Development with OpenCV 3

4 (1)
By: Joseph Howse

Overview of this book

iOS Application Development with OpenCV 3 enables you to turn your smartphone camera into an advanced tool for photography and computer vision. Using the highly optimized OpenCV library, you will process high-resolution images in real time. You will locate and classify objects, and create models of their geometry. As you develop photo and augmented reality apps, you will gain a general understanding of iOS frameworks and developer tools, plus a deeper understanding of the camera and image APIs. After completing the book's four projects, you will be a well-rounded iOS developer with valuable experience in OpenCV.
Table of Contents (13 chapters)
iOS Application Development with OpenCV 3
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Index

Summary


This chapter has introduced the software and hardware that we will use to make computer vision applications for iOS. We set up a development environment, including Xcode, the iOS SDK, the Xcode Command Line Tools, a prebuilt version of OpenCV's standard modules, and optionally a custom-built version of OpenCV's extra modules. Using these tools and libraries, we developed an iOS application that performs a basic image processing function and we built it for iOS simulators and local devices. We discussed some of the places where we can seek more information about Apple's app distribution process, the iOS SDK, and OpenCV. Finally, we compared the camera specifications of iOS devices and learned about accessories that may help us capture clearer and more specialized images. The next chapter delves deeper into the topics of computational photography and image processing as we will build an application that can capture, edit, and share photographs.