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OpenCV 3 Computer Vision with Python Cookbook

You're reading from   OpenCV 3 Computer Vision with Python Cookbook Leverage the power of OpenCV 3 and Python to build computer vision applications

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788474443
Length 306 pages
Edition 1st Edition
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Authors (2):
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Aleksandr Rybnikov Aleksandr Rybnikov
Author Profile Icon Aleksandr Rybnikov
Aleksandr Rybnikov
Aleksei Spizhevoi Aleksei Spizhevoi
Author Profile Icon Aleksei Spizhevoi
Aleksei Spizhevoi
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Toc

Table of Contents (11) Chapters Close

Preface 1. I/O and GUI FREE CHAPTER 2. Matrices, Colors, and Filters 3. Contours and Segmentation 4. Object Detection and Machine Learning 5. Deep Learning 6. Linear Algebra 7. Detectors and Descriptors 8. Image and Video Processing 9. Multiple View Geometry 10. Other Books You May Enjoy

Multiple View Geometry

This chapter covers the following recipes:

  • Pinhole camera model calibration
  • Fisheye camera model calibration
  • Stereo rig calibration - estimation of extrinsics
  • Distorting and undistorting points
  • Removing lens distortion effects from an image
  • Restoring a 3D point from two observations through triangulation
  • Finding a relative camera-object pose through the PnP algorithm
  • Aligning two views through stereo rectification
  • Epipolar geometry - computing fundamental and essential matrices
  • Essential matrix decomposition into rotation and translation
  • Estimating disparity maps for stereo images
  • Special case 2-view geometry - estimating homography transformation
  • Planar scene - decomposing homography into rotation and translation
  • Rotational camera cas - estimating camera rotation from homography
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