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Mastering OpenCV 3

You're reading from   Mastering OpenCV 3 Get hands-on with practical Computer Vision using OpenCV 3

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Product type Paperback
Published in Apr 2017
Publisher
ISBN-13 9781786467171
Length 250 pages
Edition 2nd Edition
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Authors (6):
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Shervin Emami Shervin Emami
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Shervin Emami
David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
Eugene Khvedchenia Eugene Khvedchenia
Author Profile Icon Eugene Khvedchenia
Eugene Khvedchenia
Daniel Lelis Baggio Daniel Lelis Baggio
Author Profile Icon Daniel Lelis Baggio
Daniel Lelis Baggio
Roy Shilkrot Roy Shilkrot
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Roy Shilkrot
Jason Saragih Jason Saragih
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Jason Saragih
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Toc

3D Head Pose Estimation Using AAM and POSIT

A good computer vision algorithm can't be complete without great, robust capabilities, as well as wide generalization and a solid math foundation. All these features accompany the work mainly developed by Timothy Cootes with Active Appearance Models. This chapter will teach you how to create an Active Appearance Model (AAM) of your own using OpenCV as well as how to use it to search for the closest position your model is located at in a given frame. Besides, you will learn how to use the POSIT algorithm and how to fit your 3D model in the posed image. With all these tools, you will be able to track a 3D model in a video, in real time--ain't it great? Although the examples focus on head pose, virtually any deformable model could use the same approach.

This chapter will cover the following topics:

  • Active Appearance Models overview
  • Active Shape Models overview
  • ...
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