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Face Alignment

Face alignment is the task of identifying the geometric structure of faces in digital images, and attempting to obtain a canonical alignment of the face based on translation, scale, and rotation.

( Image credit: 3DDFA_V2 )

Papers

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Showing 276–300 of 308 papers

TitleStatusHype
Face Alignment Assisted by Head Pose EstimationCode0
Pose-Invariant 3D Face Alignment—0
Face alignment by coarse-to-fine shape searchingCode0
Unconstrained 3D Face Reconstruction—0
Project-Out Cascaded Regression With an Application to Face Alignment—0
Active Pictorial Structures—0
Real-Time 3D Head Pose and Facial Landmark Estimation From Depth Images Using Triangular Surface Patch Features—0
Unifying Holistic and Parts-Based Deformable Model Fitting—0
Face Alignment Using Cascade Gaussian Process Regression Trees—0
Mirror, mirror on the wall, tell me, is the error small?—0
Robust Face Recognition by Constrained Part-based Alignment—0
Facial Feature Point Detection: A Comprehensive Survey—0
Deep Regression for Face Alignment—0
Transferring Landmark Annotations for Cross-Dataset Face Alignment—0
Learning Deep Representation for Face Alignment with Auxiliary Attributes—0
Key Event Detection in Video using ASR and Visual Data—0
3D faces in motion: Fully automatic registration and statistical analysisCode0
Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization—0
Gauss-Newton Deformable Part Models for Face Alignment in-the-Wild—0
RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models—0
Face Alignment at 3000 FPS via Regressing Local Binary Features—0
Towards Multi-view and Partially-Occluded Face Alignment—0
One Millisecond Face Alignment with an Ensemble of Regression Trees—0
Non-Parametric Bayesian Constrained Local Models—0
Incremental Face Alignment in the Wild—0
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