Jul 1, 2019 · This paper proposes a novel model fitting algorithm for 3D facial expression reconstruction from a single image.
The proposed method applies a cascaded regression framework to estimate parameters for the 3DMM. 2D landmarks are detected and used to initialize the 3D shape ...
This paper investigates thoroughly such cascaded regression based 3D face reconstruction approaches from four perspectives that are not well studied yet.
The cascaded regressors are offline learned from a set of 3D faces and their corresponding 2D face images in various views. By treating the landmarks that are ...
Sep 7, 2020 · In this paper, we aim at analysing the practical aspects of one type of CR-based face landmark- ing, namely the Cascaded Regression Trees (CTR), ...
Sep 21, 2015 · Abstract:Cascaded regression has been recently applied to reconstructing 3D faces from single 2D images directly in shape space, ...
Missing: displacement | Show results with:displacement
Abstract: Cascaded regression has been recently applied to reconstruct 3D faces from single 2D images directly in shape space, and has achieved ...
This method, based on a summation model of 3D faces and cascaded regression in ... facial landmark fitting via optimized part mixtures and cascaded.
Apr 22, 2020 · In particular, by leveraging the cascade regression framework, we iteratively learn two regressors to update landmark locations and 3D face ...
Sep 4, 2023 · We introduce neural networks to reconstruct stable and precise faces in time. The reconstruction network extracts the 3DMM parameters from video sequences.