Face recognition: challenges, achievements and future directions
M Hassaballah, S Aly - IET Computer Vision, 2015 - Wiley Online Library
Face recognition has received significant attention because of its numerous applications in
access control, law enforcement, security, surveillance, Internet communication and …
access control, law enforcement, security, surveillance, Internet communication and …
A review of recent advances in visual speech decoding
Visual speech information plays an important role in automatic speech recognition (ASR)
especially when audio is corrupted or even inaccessible. Despite the success of audio …
especially when audio is corrupted or even inaccessible. Despite the success of audio …
3d morphable face models—past, present, and future
In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …
since they were first proposed. The challenges in building and applying these models …
Probabilistic linear discriminant analysis for inferences about identity
SJD Prince, JH Elder - 2007 IEEE 11th international conference …, 2007 - ieeexplore.ieee.org
Many current face recognition algorithms perform badly when the lighting or pose of the
probe and gallery images differ. In this paper we present a novel algorithm designed for …
probe and gallery images differ. In this paper we present a novel algorithm designed for …
The CAS-PEAL large-scale Chinese face database and baseline evaluations
In this paper, we describe the acquisition and contents of a large-scale Chinese face
database: the CAS-PEAL face database. The goals of creating the CAS-PEAL face database …
database: the CAS-PEAL face database. The goals of creating the CAS-PEAL face database …
Multi-task pose-invariant face recognition
Face images captured in unconstrained environments usually contain significant pose
variation, which dramatically degrades the performance of algorithms designed to recognize …
variation, which dramatically degrades the performance of algorithms designed to recognize …
Probabilistic models for inference about identity
Many face recognition algorithms use “distance-based” methods: Feature vectors are
extracted from each face and distances in feature space are compared to determine …
extracted from each face and distances in feature space are compared to determine …
Tied factor analysis for face recognition across large pose differences
Face recognition algorithms perform very unreliably when the pose of the probe face is
different from the gallery face: typical feature vectors vary more with pose than with identity …
different from the gallery face: typical feature vectors vary more with pose than with identity …
On full-view coverage in camera sensor networks
Y Wang, G Cao - 2011 Proceedings IEEE INFOCOM, 2011 - ieeexplore.ieee.org
Camera sensors are different from traditional scalar sensors as different cameras from
different positions can form distinct views of the object. However, traditional disk sensing …
different positions can form distinct views of the object. However, traditional disk sensing …
3D face reconstruction: the road to forensics
3D face reconstruction algorithms from images and videos are applied to many fields, from
plastic surgery to the entertainment sector, thanks to their advantageous features. However …
plastic surgery to the entertainment sector, thanks to their advantageous features. However …