We report on the largest experimental study to date in multimodal 2D+ 3D face recognition,
involving 198 persons in the gallery and either 198 or 670 time-lapse probe images. PCA …

Results are presented for the largest experimental study to date that investigates the
comparison and combination of 2D and 3D face data for biometric recognition. To our …

Results are presented for the largest experimental study to date that investigates the
comparison and combination of 2D and 3D face recognition. To our knowledge, this is also …

This survey focuses on recognition performed by matching models of the three-dimensional
shape of the face, either alone or in combination with matching corresponding two …

We present a fully automatic face recognition algorithm and demonstrate its performance on
the FRGC v2. 0 data. Our algorithm is multimodal (2D and 3D) and performs hybrid (feature …

This article describes a new dataset under construction at the Media Integration and
Communication Center and the University of Florence. The dataset consists of high …

In this paper, we propose a 3D-2D framework for face recognition that is more practical than
3D-3D, yet more accurate than 2D-2D. For 3D-2D face recognition, the gallery data …

High performance for face recognition systems occurs in controlled environments and
degrades with variations in illumination, facial expression, and pose. Efforts have been …

The progress we are currently witnessing in many computer vision applications, including
automatic face analysis, would not be made possible without tremendous efforts in collecting …

In this paper, we present a large-scale database consisting of low cost Kinect 3D face
videos, namely Lock3DFace, for 3D face analysis, particularly for 3D Face Recognition (FR) …