In this paper, we propose a method for recognizing a micro expression which is a small motion appearing on a face by using a high density and high frame-rate 3D reconstruction method. Some studies report that the micro expressions are caused by the change of mental state. If we can recognize the micro expressions, this information could be useful for machines to understand the mental state of a...

We present a method for extracting skull and face models from MRI datasets and show how the resulting dataset is used in a craniofacial reconstruction (CFR) system. Datasets for 60 individuals are used to produce a database of 3D skull-face models, which are then used to give faces to unknown skulls. In addition to the skull-face geometry, other information about the individuals is known and ca...

With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recently shown promising performance in reconstructing detailed face shape from 2D face images. The success of CNN-based methods relies on a large number of labeled data. The state-of-the-art synthesizes such data using a coarse morphable face model, which however has difficulty to generate detailed ph...

The aim of craniofacial reconstruction is to estimate the shape of a face from the shape of the skull. Few works in machine-assisted facial reconstruction have been conducted so far, probably due to technical poor machine performance and data availability and theoretical complexity reasons. Therefore, the main works in the literature consist in manual reconstructions. In this paper, an original...

This paper aims to address the ill-posed problem of reconstructing 3D faces from single 2D face images. An extended Tikhonov regularization method is connected with the standard 3D morphable model in order to reconstruct the 3D face shapes from a small set of 2D facial points. Further, by interpolating the input 2D texture with the model texture and warping the interpolated texture to the recon...

Approaches for cross-pose face recognition can be categorized into 2D image based and 3D model based. However, only a small number of 3D model based approaches are reported although 3D information is considered crucial for cross-pose analysis. Extended from a latest face reconstruction method using a single 3D reference model, this study focuses on using the reconstructed 3D face for recognitio...

This paper describes a model-assisted system for reconstruction of 3D faces from a single consumer quality camera using a structure from motion approach. Typical multi-view stereo approaches use the motion of a sparse set of features to compute camera pose followed by a dense matching step to compute the final object structure. Accurate pose estimation depends upon precise identification and ma...

We present a system for 3D face reconstruction that is based on live depth information combined with face priors. The system includes a stereo matching method that employs prior information for limiting the search space and introduces an offline scanned 3D model that is animated by means of 2D morphing techniques in order to match the live facial expressions. The resulting liveand synthetic dep...