We have completed the LightWork application by adding a set of image blending options. Moreover, we have considered the notion that an image represents a slice of time and space, so a blended image creates a hybrid time and hybrid space. Photographers might think of this hybridization as multiple exposure, while app designers might call it augmented reality (AR). Starting in the next chapter, we will explore more sophisticated AR techniques, which involve detecting and tracking an object in the live video and superimposing other graphics to precisely fit the object's features.
iOS Application Development with OpenCV 3
By :
iOS Application Development with OpenCV 3
By:
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.
Related Content you might be interested in
Current Title:
iOS Application Development with OpenCV 3
Table of Contents (13 chapters)
iOS Application Development with OpenCV 3
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Setting Up Software and Hardware
Capturing, Storing, and Sharing Photos
Blending Images
Detecting and Merging Faces of Mammals
Classifying Coins and Commodities
Index
Customer Reviews