We train a 3D shape model with different view-based local texture models from a 3D database, and then fit a face in a 2D image by these models. We also improve ...
We train a 3D shape model with different view-based local texture models from a 3D database, and then fit a face in a 2D image by these models. We also improve ...
In this paper, a comparative survey is presented to provide a holistic understanding of both 2D and 3D face alignment, which may inspire more advanced ...
Jul 11, 2015 · In this paper we propose a supervised initialization scheme for cascaded face alignment based on explicit head pose estimation.
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Abstract. An algorithm is presented that estimates 3D facial landmark coordinates and oc- clusion state from a single 2D image. Unlike previous approaches ...
Current face representation models can be classified into three different types: 2D-based, 3D-based and feature-based.
This paper proposes a dual attention mechanism and an efficient end-to-end 3D face alignment framework.
[PDF] Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark ...
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The 3D-based models generally align a 3D morphable face model [1] to the test 2D face image and infer landmark locations from the 3D face via single direction ...
Stable Head Pose Estimation and Landmark Regression via 3D Dense Face Reconstruction · CPU real-time face deteciton, alignment, and reconstruction pipeline.
May 19, 2023 · We propose a novel 3D facial geometry's 2D im- age space representation, followed by a novel post- processing algorithm. It achieves robust 3D ...