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OpenCV Computer Vision Application Programming Cookbook Second Edition

OpenCV Computer Vision Application Programming Cookbook Second Edition

By : Robert Laganiere
3.7 (3)
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OpenCV Computer Vision Application Programming Cookbook Second Edition

OpenCV Computer Vision Application Programming Cookbook Second Edition

3.7 (3)
By: Robert Laganiere

Overview of this book

OpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can also be used as a companion book in a university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.
Table of Contents (13 chapters)
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12
Index

Introduction


In computer vision, the concept of interest points—also called keypoints or feature points—has been largely used to solve many problems in object recognition, image registration, visual tracking, 3D reconstruction, and more. This concept relies on the idea that instead of looking at the image as a whole, it could be advantageous to select some special points in the image and perform a local analysis on them. This approach works well as long as a sufficient number of such points are detected in the images of interest and these points are distinguishing and stable features that can be accurately localized.

Because they are used for analyzing image content, feature points should ideally be detected at the same scene or object location no matter from which viewpoint, scale, or orientation the image was taken. View invariance is a very desirable property in image analysis and has been the object of numerous studies. As we will see, different detectors have different invariance properties...

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