Robust Face Alignment
7 papers with code • 0 benchmarks • 0 datasets
Robust face alignment is the task of face alignment in unconstrained (non-artificial) conditions.
( Image credit: Deep Alignment Network )
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Latest papers with no code
3D Face Alignment Through Fusion of Head Pose Information and Features
We experimentally assessed the correlation between the predicted facial landmarks and head pose information, as well as variations in the accuracy of facial landmarks with respect to the quality of head pose information.
Face Frontalization Based on Robustly Fitting a Deformable Shape Model to 3D Landmarks
We propose to model inliers and outliers with the generalized Student's t-probability distribution function, a heavy-tailed distribution that is immune to non-Gaussian errors in the data.
Robust Face Alignment by Multi-order High-precision Hourglass Network
Heatmap regression (HR) has become one of the mainstream approaches for face alignment and has obtained promising results under constrained environments.
Multistage Model for Robust Face Alignment Using Deep Neural Networks
First, a spatial transformer - generative adversarial network which consists of convolutional layers and residual units is utilized to solve the initialization issues caused by face detectors, such as rotation and scale variations, to obtain improved face bounding boxes for face alignment.
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment
Face alignment consists of aligning a shape model on a face image.
Deep Face Feature for Face Alignment
The deep face feature (DFF) is trained using correspondence between face images rendered from different views.
Leveraging intra and inter-dataset variations for robust face alignment
Face alignment is a critical topic in the computer vision community.
Face Alignment In-the-Wild: A Survey
Over the last two decades, face alignment or localizing fiducial facial points has received increasing attention owing to its comprehensive applications in automatic face analysis.
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks
In this paper we propose a deep learning solution to age estimation from a single face image without the use of facial landmarks and introduce the IMDB-WIKI dataset, the largest public dataset of face images with age and gender labels.
Robust Face Alignment Using a Mixture of Invariant Experts
Face alignment is particularly challenging when there are large variations in pose (in-plane and out-of-plane rotations) and facial expression.
