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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 101–110 of 308 papers

TitleStatusHype
Face Alignment by Local Deep Descriptor Regression—0
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network—0
Face Alignment In-the-Wild: A Survey—0
Face Alignment Robust to Pose, Expressions and Occlusions—0
ACE-Net: Fine-Level Face Alignment through Anchors and Contours Estimation—0
Face Alignment Using Active Shape Model And Support Vector Machine—0
Face Alignment Using Cascade Gaussian Process Regression Trees—0
Face Alignment Using K-Cluster Regression Forests With Weighted Splitting—0
Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests—0
Dynamic Attention-controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-set Sample Weighting—0
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