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Mastering OpenCV with Practical Computer Vision Projects
book

Mastering OpenCV with Practical Computer Vision Projects

by Shervin Emami
December 2012
Intermediate to advanced
340 pages
8h 3m
English
Packt Publishing
Content preview from Mastering OpenCV with Practical Computer Vision Projects

Summary

In this chapter we have seen how OpenCV can help us approach Structure from Motion in a manner that is both simple to code and to understand. OpenCV's API contains a number of useful functions and data structures that make our lives easier and also assist in a cleaner implementation.

However, the state-of-the-art SfM methods are far more complex. There are many issues we choose to disregard in favor of simplicity, and plenty more error examinations that are usually in place. Our chosen methods for the different elements of SfM can also be revisited. For one, H and Z propose a highly accurate triangulation method that minimizes the reprojection error in the image domain. Some methods even use the N-view triangulation once they understand ...

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Publisher Resources

ISBN: 9781849517829Other