We present a data-driven method for estimating the 3D shapes of faces viewed in single,
unconstrained photos (aka" in-the-wild"). Our method was designed with an emphasis on …

In this work we present a method to estimate a 3D face shape from a single image. Our
method is based on a cascade regression framework that directly estimates face landmarks …

Automated 3D reconstruction of faces from images is challenging if the image material is
difficult in terms of pose, lighting, occlusions and facial expressions, and if the initial 2D …

This paper presents an algorithm for unconstrained 3D face reconstruction. The input to our
algorithm is an" unconstrained" collection of face images captured under a diverse variation …

We address the problem of reconstructing 3D face models from large unstructured photo
collections, eg, obtained by Google image search or from personal photo collections in …

Given a collection of" in-the-wild" face images captured under a variety of unknown pose,
expression, and illumination conditions, this paper presents a method for reconstructing a …

Fast and robust three-dimensional reconstruction of facial geometric structure from a single
image is a challenging task with numerous applications. Here, we introduce a learning …

Human faces are remarkably similar in global properties, including size, aspect ratio, and
location of main features, but can vary considerably in details across individuals, gender …

We present a novel model based stereo system, which accurately extracts the 3D shape and
pose of faces from multiple images taken simultaneously. Extracting the 3D shape from …

Many face recognition applications require a precise 3D reconstruction of the shape of the
face, even when only a single 2D image is available. We present a novel regression …