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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 171–180 of 308 papers

TitleStatusHype
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection—0
Separable Batch Normalization for Robust Facial Landmark Localization with Cross-protocol Network Training—0
Simultaneous regression and feature learning for facial landmarking—0
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer—0
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment—0
Spontaneous Emotion Recognition from Facial Thermal Images—0
Sub-pixel face landmarks using heatmaps and a bag of tricks—0
Subpixel Heatmap Regression for Facial Landmark Localization—0
Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs—0
Supervised Descent Method and Its Applications to Face Alignment—0
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