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iOS Application Development with OpenCV 3

iOS Application Development with OpenCV 3

By : Joseph Howse
4 (5)
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iOS Application Development with OpenCV 3

iOS Application Development with OpenCV 3

4 (5)
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 (7 chapters)
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6
Index

Expanding the view controller's interface

All of the new source code will go in ViewController.m. Open the file. After the import statements, let's define the following enumeration to identify the available blending modes:

enum BlendMode {
  None,
  Average,
  Multiply,
  Screen,
  HUD
};

Now, we need to add several new variables and methods to the private interface of our ViewController class. To provide callbacks to a standard image picker, our view controller must implement two protocols, UIImagePickerControllerDelegate and UINavigationControllerDelegate. We also need two more cv::Mat variables to store the selected foreground image in its original format and a converted format that is appropriate for the current background and blending mode. The blending mode is a variable, too. Note the highlighted changes in this block of code:

@interface ViewController () <CvVideoCameraDelegate,
    UIImagePickerControllerDelegate,
    UINavigationControllerDelegate> {
  cv::Mat originalStillMat...

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