December 2012
Intermediate to advanced
340 pages
8h 3m
English
Content preview from Mastering OpenCV with Practical Computer Vision ProjectsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 7. 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 Tim Cootes with Active Appearance Models. This chapter will teach you how to create an Active Appearance Model 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 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.