Regional parallel structure based CNN for thermal infrared face identification
P Wang, X Bai - Integrated Computer-Aided Engineering, 2018 - content.iospress.com
The convolutional neural network, based on multi-scale features, is introduced to thermal
infrared face identification in this paper. A novel CNN structure is proposed based on …
infrared face identification in this paper. A novel CNN structure is proposed based on …
A pavement crack detection method combining 2D with 3D information based on Dempster‐Shafer theory
J Huang, W Liu, X Sun - Computer‐Aided Civil and …, 2014 - Wiley Online Library
Pavement cracking is one of the main distresses presented in the road surface. Objective
and accurate detection or evaluation for these cracks is an important task in the pavement …
and accurate detection or evaluation for these cracks is an important task in the pavement …
Integrating a statistical background-foreground extraction algorithm and SVM classifier for pedestrian detection and tracking
A Support Vector Machine (SVM) is an effective method for pedestrian detection
applications; however, performance of an SVM is closely related to the samples that are …
applications; however, performance of an SVM is closely related to the samples that are …
Evolving RBF neural networks for adaptive soft-sensor design
A Alexandridis - International journal of neural systems, 2013 - World Scientific
This work presents an adaptive framework for building soft-sensors based on radial basis
function (RBF) neural network models. The adaptive fuzzy means algorithm is utilized in …
function (RBF) neural network models. The adaptive fuzzy means algorithm is utilized in …
2D and 3D palmprint information, PCA and HMM for an improved person recognition performance
Biometric systems based on a single source of information suffer from limitations such as the
lack of uniqueness, nonuniversality of the chosen biometric trait, noisy data and spoof …
lack of uniqueness, nonuniversality of the chosen biometric trait, noisy data and spoof …
Analyzing the influence of contrast in large-scale recognition of natural images
This paper analyzes both the isolated influence of illumination quality in 2D facial
recognition and also the influence of contrast measures in large-scale recognition of low …
recognition and also the influence of contrast measures in large-scale recognition of low …
Local binary pattern based face recognition with automatically detected fiducial points
This paper deals with automatic face recognition in the context of a real application for
person identification developed for the Czech News Agency (TK). We focus on popular …
person identification developed for the Czech News Agency (TK). We focus on popular …
Deep learning-based skin cancer identification
Amongst different types of cancer, skin cancer has shown an increasing trend over the
decade. Skin cancer is mainly caused due to exposure of human skin to ultraviolet rays, due …
decade. Skin cancer is mainly caused due to exposure of human skin to ultraviolet rays, due …
Multithread face recognition in cloud
DR Kisku, S Rana - Journal of sensors, 2016 - Wiley Online Library
Faces are highly challenging and dynamic objects that are employed as biometrics
evidence in identity verification. Recently, biometrics systems have proven to be an essential …
evidence in identity verification. Recently, biometrics systems have proven to be an essential …
Fatigue detection with 3D facial features based on binocular stereo vision
L Zhang, M Yan, Y Zeng - Integrated Computer-Aided …, 2014 - content.iospress.com
Fatigue may lead to potential accidents, but its diagnosis is difficult so it is easy to be
delayed or missed. In this paper, a novel 3D facial-image-based fatigue detection method is …
delayed or missed. In this paper, a novel 3D facial-image-based fatigue detection method is …