Predicting first impressions with deep learning

M McCurrie, F Beletti, L Parzianello… - 2017 12th IEEE …, 2017 - ieeexplore.ieee.org
Describable visual facial attributes are now commonplace in human biometrics and affective
computing, with existing algorithms even reaching a sufficient point of maturityfor placement …

Bridging the spectral gap using image synthesis: a study on matching visible to passive infrared face images

N Osia, T Bourlai - Machine Vision and Applications, 2017 - Springer
We propose an approach that bridges the gap between the visible and IR band of the
electromagnetic spectrum, namely the mid-wave infrared or MWIR (3–5\upmu m μ m) and …

A constructive genetic algorithm for LBP in face recognition

A Nazari, SB Shouraki - 2017 3rd International Conference on …, 2017 - ieeexplore.ieee.org
LBP coefficients are essential and determine the priority of gray differences. The objectives
of this paper are to reveal this and propose a method for finding an optimal priority through …

On matching visible to passive infrared face images using image synthesis & denoising

N Osia, T Bourlai - 2017 12th IEEE International Conference on …, 2017 - ieeexplore.ieee.org
Performing a direct match between images from different spectra (ie, passive infrared and
visible) is challenging because each spectrum contains different information pertaining to …

[图书][B] Face recognition: the effects of race, gender, age and species

J Tanaka - 2017 - books.google.com
Although most people are good at face recognition, we are particularly good at recognizing
the faces of individuals who share our race, gender, age and species. What factors might …

[图书][B] Unifying the Visible and Passive Infrared Bands: Homogeneous and Heterogeneous Multi-Spectral Face Recognition

NC Osia - 2017 - search.proquest.com
Face biometrics leverages tools and technology in order to automate the identification of
individuals. In most cases, biometric face recognition (FR) can be used for forensic …

[图书][B] Deep Features based Hierarchical Classification Scheme for Face Recognition in Heterogeneous Environments

N Narang - 2017 - search.proquest.com
This dissertation investigates the advantages and limitations of the heterogeneous problem
of matching infrared long-range, night time face images against their visible counterparts …

[引用][C] Universitat Politècnica de València

DM Ferrer, AA Colomer - Establecimiento de parámetros de riesgo para la …, 2017