bccbec79fd
Face alignment (#1199) * This commit will add a new functionality of one millisecond face_alignment to OpenCV. Face alignment is a computer vision technology for identifying the geometric structure of human faces in digital images. Given the location and size of a face, it automatically determines the shape of the face components such as eyes and nose. Added following functions : 1) Application to train a face landmark detector. 2) Application to detect face landmarks using a trained model. 3) Application to swap faces using face landmark detection 4) Application to detect landmarks in a video. Merged the code with a global facemark API. Added Doxygen Documentation for the Class created. Added tutorials for the samples added. Added visualisations depicting error rate and training time. Made desired changes fix fix fix fix fix fix fix fix fix * face: drop duplicated file -face_alignmentImpl.hpp +face_alignmentimpl.hpp * face: minor refactoring - replace license headers - fix usage of "precomp.hpp"
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Tutorials for face module
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@subpage tutorial_face_main
Face Recognition using OpenCV
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@subpage tutorial_face_landmark_detection_in_an_image
Compatibility: > OpenCV 3.3
Author: Sukhad Anand
Mentor: Steven Puttemans
Face landmark detection in an image using ensemble of regression trees
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@subpage tutorial_face_training_face_landmark_detector
Compatibility: > OpenCV 3.3
Author: Sukhad Anand
Mentor: Steven Puttemans
Training a face landmark detector using an ensemble of regression trees
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@subpage tutorial_face_landmark_detection_in_video
Compatibility: > OpenCV 3.3
Author: Sukhad Anand
Mentor: Steven Puttemans
Face lanmark detection in a video running at real time
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@subpage tutorial_face_swapping_face_landmark_detection
Author: Sukhad Anand
Mentor: Steven Puttemans
Basic application to swap faces using face landmark detection