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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

Understanding detection with cascade classifiers

A cascade is a series of tests or stages, which differentiate between a positive and negative class of objects, such as face and non-face. For a positive classification, a patch of an image must pass all stages of the cascade. Conversely, if the patch fails any stage, the classifier immediately makes a negative classification.

A patch or window of an image is a sample of pixels around a given position and at a given magnification level. A cascade classifier takes windows of the image at various positions and various magnification levels, and for each window it runs the stages of the cascade. Often, positive detections occur in multiple, overlapping windows. These overlapping positive detections are called neighbors, and they imply a greater likelihood of a true positive. For example, a real face still looks like a face if we move or resize the frame around it slightly.

By now, you might be wondering exactly how we design a cascade's stages...

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