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

Chapter 4. Detecting and Merging Faces of Mammals

 

"A cat may look at a king."

 
 --English proverb

This chapter puts a spotlight on two of my favorite subjects: cats and augmented reality (AR). We will build an AR application called ManyMasks, which will detect, highlight, and merge the faces of humans and cats. Specifically, the app's user will be able to do the following things:

  • See the boundaries of a human face or cat face in a live camera view as well as the centers of the eyes and the tip of the nose. This visualization depends on the result of a face detection algorithm.

  • Select two detected faces from different camera frames.

  • See a hybrid face, which is produced by aligning and blending the two selected faces.

  • Save and share the hybrid face.

Our face detection algorithm relies on cascade classifiers, which attempt to match various patches of the image to a pretrained, generic model of a human face, human eye, or cat face. We estimate the positions of other facial features based on a set...