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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

Thinking about hybrid images


A photograph records the light in a particular slice of time and space. Often, in modern photography, the film or digital sensor is exposed for just a few milliseconds, and people perceive this time as a single moment. We, as viewers, may sometimes feel that a photograph is a testament, a tangible moment of truth, in which the facts and elements of a complex case are laid bare.

Consider the following photograph, taken by Kanu Gandhi in February 1940. Between 1938 and 1948, the photographer documented the private life of his great-uncle, Mahatma Gandhi, the Indian independence leader and pacifist philosopher. Here, we see the Mahatma (left) meditating with Rabindranath Tagore (right), the Nobel Prize-winning poet:

At first glance, we may interpret this as a documentary photo, which appeals to our curiosity about a private meeting between two famous men. We may imagine that we are simply studying the facts about the men's pose, their expressions, and their surroundings...

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