Face landmark detection is the process of finding points of interest in an image of a human face. It recently saw a spur of interest in the computer vision community, as it has many compelling applications; for example, detecting emotion through facial gestures, estimating gaze direction, changing facial appearance (face swap), augmenting faces with graphics, and puppeteering of virtual characters. We can see many of these applications in today's smartphones and PC web-camera programs. To achieve these applications, the landmark detector must find dozens of points on the face, such as corners of the mouth, corners of eyes, the silhouette of the jaws, and many more. To that end, many algorithms were developed, and a few were implemented in OpenCV. In this chapter, we will discuss the process of face landmark (also known as facemark...
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Table Of Contents
Mastering OpenCV 4 - Third Edition
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Mastering OpenCV 4
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Overview of this book
Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks.
You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects.
By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.
Table of Contents (12 chapters)
Preface
Free Chapter
Cartoonifier and Skin Color Analysis on the RaspberryPi
Explore Structure from Motion with the SfM Module
Face Landmark and Pose with the Face Module
Number Plate Recognition with Deep Convolutional Networks
Face Detection and Recognition with the DNN Module
Introduction to Web Computer Vision with OpenCV.js
Android Camera Calibration and AR Using the ArUco Module
iOS Panoramas with the Stitching Module
Finding the Best OpenCV Algorithm for the Job
Avoiding Common Pitfalls in OpenCV
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