3d face recognition: Two decades of progress and prospects
Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …
decades due to its wide range of applications in many areas, such as security and forensics …
2D and 3D face recognition: A survey
Government agencies are investing a considerable amount of resources into improving
security systems as result of recent terrorist events that dangerously exposed flaws and …
security systems as result of recent terrorist events that dangerously exposed flaws and …
[HTML][HTML] EEG artifact elimination by extraction of ICA-component features using image processing algorithms
T Radüntz, J Scouten, O Hochmuth, B Meffert - Journal of neuroscience …, 2015 - Elsevier
Artifact rejection is a central issue when dealing with electroencephalogram recordings.
Although independent component analysis (ICA) separates data in linearly independent …
Although independent component analysis (ICA) separates data in linearly independent …
Anthropometric 3D face recognition
We present a novel anthropometric three dimensional (Anthroface 3D) face recognition
algorithm, which is based on a systematically selected set of discriminatory structural …
algorithm, which is based on a systematically selected set of discriminatory structural …
Advances and challenges in 3D and 2D+ 3D human face recognition
Automated human face recognition is required in numerous applications. While
considerable progress has been made in color/two dimensional (2D) face recognition, three …
considerable progress has been made in color/two dimensional (2D) face recognition, three …
Three-dimensional face recognition using combinations of surface feature map subspace components
In this paper, we show the effect of using a variety of facial surface feature maps within the
Fishersurface technique, which uses linear discriminant analysis, and suggest a method of …
Fishersurface technique, which uses linear discriminant analysis, and suggest a method of …
Passive multimodal 2-D+ 3-D face recognition using Gabor features and landmark distances
S Jahanbin, H Choi, AC Bovik - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
We introduce a novel multimodal framework for face recognition based on local attributes
calculated from range and portrait image pairs. Gabor coefficients are computed at …
calculated from range and portrait image pairs. Gabor coefficients are computed at …
[PDF][PDF] Authentification d'individus par reconnaissance de caractéristiques biométriques liées aux visages 2D/3D
SG Ababsa - Evry-Val d'Essonne, 2008 - biblio.univ-evry.fr
La biométrie consiste à identifier une personne à partir d'une ou de plusieurs
caractéristiques physiologiques (empreintes digitales, visage, iris, contour de la main, etc.) …
caractéristiques physiologiques (empreintes digitales, visage, iris, contour de la main, etc.) …
3D face recognition based on multiple keypoint descriptors and sparse representation
Recent years have witnessed a growing interest in developing methods for 3D face
recognition. However, 3D scans often suffer from the problems of missing parts, large facial …
recognition. However, 3D scans often suffer from the problems of missing parts, large facial …
From 3D point clouds to pose-normalised depth maps
We consider the problem of generating either pairwise-aligned or pose-normalised depth
maps from noisy 3D point clouds in a relatively unrestricted poses. Our system is deployed …
maps from noisy 3D point clouds in a relatively unrestricted poses. Our system is deployed …