Skip to Content
Learning OpenCV 4 Computer Vision with Python 3 - Third Edition
book

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

by Joseph Howse, Joe Minichino
February 2020
Intermediate to advanced
372 pages
9h 26m
English
Packt Publishing
Content preview from Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Swapping faces in the infrared

Face detection and recognition are not limited to the visible spectrum of light. With a Near-Infrared (NIR) camera and NIR light source, face detection and recognition are possible even when a scene appears totally dark to the human eye. This capability is quite useful in security and surveillance applications.

We studied basic usage of NIR depth cameras, such as the Asus Xtion PRO, in Chapter 4, Depth Estimation and Segmentation. We extended the object-oriented code of our interactive application, Cameo. We captured frames from a depth camera. Based on depth, we segmented each frame into a main layer (such as the user's face) and other layers. We painted the other layers black. This achieved the effect of hiding ...

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

Building Computer Vision Projects with OpenCV 4 and C++

Building Computer Vision Projects with OpenCV 4 and C++

David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot

Publisher Resources

ISBN: 9781789531619Supplemental Content