In this paper, we propose a robust method for monocular face shape reconstruction (MFSR) using a sparse set of facial landmarks that are detected by most of the off-the-shelf landmark detectors. Different from the classical shape-from-shading framework, we formulate the MFSR problem as a TwoFold Coupled Structure Learning (2FCSL) process, which consists of… (More)
(2 m + 1) " 2 N (2 m + l) a 2 N X"(m + 1) X C 7 (m) + sin X $ (m) = cos (2 m + 1). 2 N + ($-1) x (1) + (-l) " ' (1-$) x (N) 2 N ' (24) 1 (2 m + 1)a. sin x:(m) = cos-XI'(m)-sin-XI,?(m) (2 m-1)" 2 N (2 m-1). 2 N X"(m-1) X " (m)-sin X y (m) = cos 7 .
—3D-Model-Aided 2D face recognition (MaFR) has attracted a lot of attention in recent years. By registering a 3D model, facial textures of the gallery and the probe can be lifted and aligned in a common space, thus alleviating the challenge of pose variations. One obstacle preventing accurate registration is the 3D-2D pose estimation, which is easily… (More)
Despite the great progress achieved in unconstrained face recognition, pose variations still remain a challenging and unsolved practical issue. We propose a novel framework for multi-view face recognition based on extracting and matching pose-robust face signatures from 2D images. Specifically, we propose an efficient method for monocu-lar 3D face… (More)