Skip to Content
Building Computer Vision Projects with OpenCV 4 and C++
book

Building Computer Vision Projects with OpenCV 4 and C++

by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
March 2019
Intermediate to advanced
538 pages
13h 38m
English
Packt Publishing
Content preview from Building Computer Vision Projects with OpenCV 4 and C++

Active appearance models and constrained local models

A canonical example of a holistic method is the active appearance model (AAM) from the late '90s, usually attributed to the work of T.F. Cootes (1998). In AAM, the goal is to iteratively match a known face rendering (from the training data) to the target input image, which upon convergence gives the shape, and thus, landmarks. The AAM method and its derivatives were extremely popular, and still take up a fair share of attention. However AAM's successor, CLM methods, have shown far better performance under illumination changes and occlusions, and rapidly took the lead. Mostly attributed to the work of Cristinacce and Cootes (2006) and Saragih et al. (2011), CLM methods model the pixel intensity ...

Become 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,
and much more.
Start your free trial

You might also like

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Joseph Howse, Joe Minichino
Modern CMake for C++

Modern CMake for C++

Rafał Świdziński

Publisher Resources

ISBN: 9781838644673Supplemental Content