a survey of start-of-the-art 2D/3D Video Based Face Alignment
-
Updated
Dec 18, 2017
a survey of start-of-the-art 2D/3D Video Based Face Alignment
Detect multiple faces using mtcnn and align each face using a modified version of the HOG face alignment class.
Repositories Collections on face detection and alignment with mtcnn
State-of-the-art 2D and 3D Face Analysis Project
Some facial landmark detection and alignment methods
Identical Twins Face Image Data
Human Face Image Dataset
Non-official implementation of "Supervised Descent Method and its Applications to Face Alignment, CVPR'13"
ios implementation of https://github.com/soundsilence/FaceAlignment project
Infant Faces Collection Dataset
Multi-race and Multi-pose Face Images Dataset
Face Image and Video Dataset (Asian race)
Detecting head orientation (Euler's angles), lips opening, face expression and bouding box size. Construct a decoder with these data.
Intro and sample apps to showcase oneML functionalities and possible use cases: Face Detection, Face Identification, Face Embedding, Vehicle Detection, EKYC, Person Attack Detection.
Multi-pose and Multi-expression Face Dataset
Udacity Computer Vision Nanodegree - Facial Keypoint Detection Project
Family Face Dataset
Simple face alignment algorithms evaluation.
Add a description, image, and links to the face-alignment topic page so that developers can more easily learn about it.
To associate your repository with the face-alignment topic, visit your repo's landing page and select "manage topics."