Google Summer of code Project (Organisation : 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. The main aim of the project is an implementation of an excellent paper from this year's Computer Vision and Pattern Recognition Conference: One Millisecond Face Alignment with an Ensemble of Regression Trees by Vahid Kazemi and Josephine Sullivan All discussion regarding the project can be found at OpenCV face alignment slack channel: https://open-cv.slack.com/messages/C5HGCM4PR/ The complete timeline of the project can be found at: https://calendar.google.com/calendar/embed?src=2j9ih3ela4ulmg96evon8rhq8c%40group.calendar.g The complete code along with the commit history can be found at pull request :  https://github.com/opencv/opencv_contrib/pull/1199 The tutorial for the work can be found at https://www.github.com/final The video on which the code is tested can be found at https://www.youtube.com/watch?v=dZXKsrApRJk&feature=youtu.be This blog will summarise all the work I have done in past 12 weeks of summer as a part of Google Summer of Code .